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2020 – today
- 2024
[j40]Baskar Ganapathysubramanian
, Jessica M. P. Bell, George Kantor, Nirav C. Merchant, Soumik Sarkar, Patrick S. Schnable, Michelle Segovia, Arti Singh, Asheesh K. Singh:
AIIRA: AI Institute for Resilient Agriculture. AI Mag. 45(1): 94-98 (2024)- [j39]Qisai Liu, Xian Yeow Lee, Soumik Sarkar:
A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. AI Open 5: 126-141 (2024) - [j38]Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Latent Diffusion Models for Structural Component Design. Comput. Aided Des. 171: 103707 (2024) - [j37]Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy:
Neural PDE Solvers for Irregular Domains. Comput. Aided Des. 172: 103709 (2024) - [j36]Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs. Eng. Comput. 40(5): 2761-2783 (2024) - [j35]Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar:
Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks 171: 25-39 (2024) - [j34]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. 25(9): 11602-11616 (2024) - [j33]Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee:
Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. 2024 (2024) - [c64]Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy:
SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. CVPR Workshops 2024: 5271-5279 - [c63]Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar:
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CVPR 2024: 27507-27517 - [c62]Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML 2024: 252-271 - [i82]Muhammad Arbab Arshad, Talukder Z. Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy:
Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions. CoRR abs/2402.10344 (2024) - [i81]Sarah E. Jones, Timilehin Ayanlade, Benjamin Fallen, Talukder Z. Jubery, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh:
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean. CoRR abs/2402.18751 (2024) - [i80]Hsin-Jung Yang, Joe Beck, Md. Zahid Hasan, Ekin Beyazit, Subhadeep Chakraborty, Tichakorn Wongpiromsarn, Soumik Sarkar:
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning. CoRR abs/2403.19062 (2024) - [i79]Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar:
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR abs/2404.08079 (2024) - [i78]Nasla Saleem, Aditya Balu, Talukder Zaki Jubery, Arti Singh, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
Class-specific Data Augmentation for Plant Stress Classification. CoRR abs/2406.13081 (2024) - [i77]Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md. Zahid Hasan, Shivani Chiranjeevi, Kelly O. Marshall, Nirmal Baishnab, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian:
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. CoRR abs/2406.17720 (2024) - [i76]Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri, Asheesh K. Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar:
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. CoRR abs/2407.19617 (2024) - [i75]Jaydeep Rade, Ethan Herron, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy:
3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs). CoRR abs/2408.06244 (2024) - [i74]Mahsa Khosravi, Matthew Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S. Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar:
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. CoRR abs/2409.00735 (2024) - [i73]Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Mehdi Shadkhah, Samundra Karki, Abhisek Upadhyaya, Suriya Dhakshinamoorthy, Marjan Saadati, Soumik Sarkar, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian:
FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. CoRR abs/2409.18032 (2024) - 2023
- [j32]Jiale Feng, Mojdeh Saadati, Talukder Z. Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy:
3D reconstruction of plants using probabilistic voxel carving. Comput. Electron. Agric. 213: 108248 (2023) - [j31]Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy:
Deep learning-based 3D multigrid topology optimization of manufacturable designs. Eng. Appl. Artif. Intell. 126: 107033 (2023) - [j30]Joshua R. Waite, Sin Yong Tan, Homagni Saha, Soumik Sarkar, Anwesha Sarkar:
Few-shot deep learning for AFM force curve characterization of single-molecule interactions. Patterns 4(1): 100672 (2023) - [i72]Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu:
SpecXAI - Spectral interpretability of Deep Learning Models. CoRR abs/2302.09949 (2023) - [i71]Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian:
Out-of-distribution detection algorithms for robust insect classification. CoRR abs/2305.01823 (2023) - [i70]Shivani Chiranjeevi, Mojdeh Saadati, Zi K. Deng, Jayanth Koushik, Talukder Z. Jubery, Daren Mueller, Matthew E. O. Neal, Nirav C. Merchant, Aarti Singh, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian:
Deep learning powered real-time identification of insects using citizen science data. CoRR abs/2306.02507 (2023) - [i69]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR abs/2306.10159 (2023) - [i68]Joshua R. Waite, Jiale Feng, Riley Tavassoli, Laura M. Harris, Sin Yong Tan, Subhadeep Chakraborty, Soumik Sarkar:
Active shooter detection and robust tracking utilizing supplemental synthetic data. CoRR abs/2309.03381 (2023) - [i67]Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Latent Diffusion Models for Structural Component Design. CoRR abs/2309.11601 (2023) - [i66]Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar:
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR abs/2311.09024 (2023) - [i65]Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Kevin Menke, Anusha Vangala, Jorge C. M. Palomares, Aaron Prestholt, Vishesh Kumar Tanwar, Xu Tao, Matthew E. Carroll, Sajal K. Das, Gil Depaula, Peter Kyveryga, Soumik Sarkar, Michelle Segovia, Simone Sylvestri, Corinne Valdivia, Asheesh K. Singh:
Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production. CoRR abs/2312.12338 (2023) - 2022
- [j29]Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy:
NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. 146: 103199 (2022) - [j28]Homagni Saha, Fateme Fotouhi, Qisai Liu, Soumik Sarkar:
A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment. Frontiers Robotics AI 9 (2022) - [j27]Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang:
The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. 235: 107593 (2022) - [c61]Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI 2022: 9377-9385 - [c60]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. Allerton 2022: 1-8 - [c59]Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian:
Stochastic Conservative Contextual Linear Bandits. CDC 2022: 7321-7326 - [c58]Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar:
Concept Activation Vectors for Generating User-Defined 3D Shapes. CVPR Workshops 2022: 2992-2999 - [i64]Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian:
Stochastic Conservative Contextual Linear Bandits. CoRR abs/2203.15629 (2022) - [i63]Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar:
Concept Activation Vectors for Generating User-Defined 3D Shapes. CoRR abs/2205.02102 (2022) - [i62]Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar:
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems. CoRR abs/2208.01871 (2022) - [i61]Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee:
Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR abs/2208.13154 (2022) - [i60]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. CoRR abs/2209.10105 (2022) - [i59]Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
Neural PDE Solvers for Irregular Domains. CoRR abs/2211.03241 (2022) - [i58]Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy:
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images. CoRR abs/2211.14662 (2022) - 2021
- [j26]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Comput. Aided Geom. Des. 91: 102038 (2021) - [j25]Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy:
Algorithmically-consistent deep learning frameworks for structural topology optimization. Eng. Appl. Artif. Intell. 106: 104483 (2021) - [j24]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4: 573731 (2021) - [j23]Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha:
Segmentation of natural images based on super pixel and graph merging. IET Comput. Vis. 15(1): 1-11 (2021) - [j22]Margarite Jacoby, Sin Yong Tan, Mohamad Katanbaf, Ali Saffari, Homagni Saha, Zerina Kapetanovic, Jasmine Garland, Anthony Florita, Gregor Henze, Soumik Sarkar, Joshua R. Smith:
WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction. J. Sens. Actuator Networks 10(4): 71 (2021) - [j21]Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar:
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. 211: 106527 (2021) - [j20]Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar:
Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. 1(3): 229-238 (2021) - [j19]Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar:
A fast saddle-point dynamical system approach to robust deep learning. Neural Networks 139: 33-44 (2021) - [c57]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP 2021: 3560-3564 - [c56]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP 2021: 3675-3679 - [c55]Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar:
Query-based targeted action-space adversarial policies on deep reinforcement learning agents. ICCPS 2021: 87-97 - [c54]Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar:
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML 2021: 3036-3046 - [c53]Ali Saffari, Sin Yong Tan, Mohamad Katanbaf, Homagni Saha, Joshua R. Smith, Soumik Sarkar:
Battery-Free Camera Occupancy Detection System. EMDL@MobiSys 2021: 13-18 - [c52]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. NeurIPS 2021: 20270-20282 - [c51]Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian:
Distributed multigrid neural solvers on megavoxel domains. SC 2021: 49 - [i57]Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. CoRR abs/2101.01877 (2021) - [i56]Homagni Saha, Fateme Fotouhif, Qisai Liu, Soumik Sarkar:
A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment. CoRR abs/2101.07891 (2021) - [i55]Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar:
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR abs/2103.02051 (2021) - [i54]Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor Henze, Soumik Sarkar:
Granger Causality Based Hierarchical Time Series Clustering for State Estimation. CoRR abs/2104.04206 (2021) - [i53]Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
Distributed Multigrid Neural Solvers on Megavoxel Domains. CoRR abs/2104.14538 (2021) - [i52]Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy:
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. CoRR abs/2104.14547 (2021) - [i51]Xian Yeow Lee, Soumik Sarkar, Yubo Wang:
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. CoRR abs/2109.12073 (2021) - [i50]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. CoRR abs/2110.01532 (2021) - [i49]Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. CoRR abs/2110.01601 (2021) - [i48]Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
Cross-Modal Virtual Sensing for Combustion Instability Monitoring. CoRR abs/2110.01659 (2021) - [i47]Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR abs/2112.02813 (2021) - 2020
- [c50]Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI 2020: 4377-4384 - [c49]Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI 2020: 4577-4584 - [c48]Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar:
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. ACC 2020: 3959-3964 - [c47]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar:
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS 2020: 93-101 - [c46]Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. IV 2020: 238-245 - [c45]Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian:
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. MLHPC/AI4S@SC 2020: 50-63 - [i46]Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani, Seyed Vahid Mirnezami, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
How useful is Active Learning for Image-based Plant Phenotyping? CoRR abs/2006.04255 (2020) - [i45]Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh:
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning. CoRR abs/2006.13847 (2020) - [i44]Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping. CoRR abs/2007.05729 (2020) - [i43]Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar:
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. CoRR abs/2007.07176 (2020) - [i42]Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian:
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. CoRR abs/2007.12792 (2020) - [i41]Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR abs/2008.04882 (2020) - [i40]Homagni Saha, Sin Yong Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar:
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras. CoRR abs/2008.05654 (2020) - [i39]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR abs/2010.11166 (2020) - [i38]Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar:
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents. CoRR abs/2011.07114 (2020) - [i37]Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar:
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications. CoRR abs/2011.07118 (2020) - [i36]Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy:
Physics-consistent deep learning for structural topology optimization. CoRR abs/2012.05359 (2020)
2010 – 2019
- 2019
- [j18]Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar:
Generalised gossip-based subgradient method for distributed optimisation. Int. J. Control 92(6): 1209-1225 (2019) - [c44]Sin Yong Tan, Homagni Saha, Anthony R. Florita, Gregor P. Henze, Soumik Sarkar:
For publication in 2019 ACC A flexible framework for building occupancy detection using spatiotemporal pattern networks. ACC 2019: 5884-5889 - [c43]Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops 2019: 83-87 - [c42]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops 2019: 1152-1156 - [c41]Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde:
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV 2019: 4772-4782 - [i35]Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar:
A perspective on multi-agent communication for information fusion. ViGIL@NeurIPS 2019 - [i34]Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde:
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR abs/1904.08489 (2019) - [i33]Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. CoRR abs/1906.00093 (2019) - [i32]Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Encoding Invariances in Deep Generative Models. CoRR abs/1906.01626 (2019) - [i31]Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar:
Learning to Cope with Adversarial Attacks. CoRR abs/1906.12061 (2019) - [i30]Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR abs/1909.02583 (2019) - [i29]Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
On Higher-order Moments in Adam. CoRR abs/1910.06878 (2019) - [i28]Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar:
A Saddle-Point Dynamical System Approach for Robust Deep Learning. CoRR abs/1910.08623 (2019) - [i27]Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar:
A perspective on multi-agent communication for information fusion. CoRR abs/1911.03743 (2019) - [i26]Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar:
Deep Reinforcement Learning for Adaptive Traffic Signal Control. CoRR abs/1911.06294 (2019) - 2018
- [j17]Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Learning localized features in 3D CAD models for manufacturability analysis of drilled holes. Comput. Aided Geom. Des. 62: 263-275 (2018) - [j16]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
A deep learning framework for causal shape transformation. Neural Networks 98: 305-317 (2018) - [j15]Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar:
An explainable deep machine vision framework for plant stress phenotyping. Proc. Natl. Acad. Sci. USA 115(18): 4613-4618 (2018) - [j14]Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Sourabh Bhattacharya:
A Novel Multirobot System for Plant Phenotyping. Robotics 7(4): 61 (2018) - [j13]Adedotun Akintayo, Soumik Sarkar:
Hierarchical symbolic dynamic filtering of streaming non-stationary time series data. Signal Process. 151: 76-88 (2018) - [c40]Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar:
On Consensus-Disagreement Tradeoff in Distributed Optimization. ACC 2018: 571-576 - [c39]Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar:
Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC 2018: 1052-1057 - [c38]Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar:
Hierarchical Optimization for Building Energy Systems. ACC 2018: 4646-4651 - [c37]Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar:
Exploring Granger causality in dynamical systems modeling and performance monitoring. CDC 2018: 2537-2542 - [c36]Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 2018: 356-371 - [c35]Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar:
Online Robust Policy Learning in the Presence of Unknown Adversaries. NeurIPS 2018: 9938-9948 - [i25]Koushik Nagasubramanian, Sarah E. Jones, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar:
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps. CoRR abs/1804.08831 (2018) - [i24]Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar:
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models. CoRR abs/1805.12044 (2018) - [i23]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR abs/1805.12120 (2018) - [i22]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. CoRR abs/1805.12254 (2018) - [i21]Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar:
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR abs/1805.12296 (2018) - [i20]Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar:
Online Robust Policy Learning in the Presence of Unknown Adversaries. CoRR abs/1807.06064 (2018) - [i19]Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Baskar Ganapathysubramanian, Soumik Sarkar:
Interpretable deep learning for guided structure-property explorations in photovoltaics. CoRR abs/1811.06067 (2018) - [i18]Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR abs/1811.09669 (2018) - [i17]Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar:
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys. CoRR abs/1811.09724 (2018) - [i16]Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar:
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR abs/1811.12444 (2018) - 2017
- [j12]Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar:
LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognit. 61: 650-662 (2017) - [j11]Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering:
Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. J. Signal Process. Syst. 88(2): 205-217 (2017) - [c34]Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar:
Convergence and noise effect analysis for generalized gossip-based distributed optimization. ACC 2017: 4353-4358 - [c33]Chao Liu, Kin Gwn Lore, Soumik Sarkar:
Data-driven root-cause analysis for distributed system anomalies. CDC 2017: 5745-5750 - [c32]Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha:
Segmentation of Natural Image Based on Colour Cohesion and Spatial Criteria. ICAPR 2017: 1-7 - [c31]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
Collaborative Deep Learning in Fixed Topology Networks. NIPS 2017: 5904-5914 - [i15]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
Collaborative Deep Learning in Fixed Topology Networks. CoRR abs/1706.07880 (2017) - [i14]Koushik Nagasubramanian, Sarah E. Jones, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian:
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean. CoRR abs/1710.04681 (2017) - [i13]Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar:
Interpretable Deep Learning applied to Plant Stress Phenotyping. CoRR abs/1710.08619 (2017) - [i12]Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar:
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes. CoRR abs/1711.04851 (2017) - [i11]Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar:
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR abs/1711.06221 (2017) - 2016
- [j10]Devesh K. Jha, Pritthi Chattopadhyay, Soumik Sarkar, Asok Ray:
Path planning in GPS-denied environments via collective intelligence of distributed sensor networks. Int. J. Control 89(5): 984-999 (2016) - [j9]Soumik Sarkar, Abhishek Srivastav:
A composite discretization scheme for symbolic identification of complex systems. Signal Process. 125: 156-170 (2016) - [c30]Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul Kelkar:
Scalable supervisory control of building energy systems using generalized gossip. ACC 2016: 581-586 - [c29]Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray:
Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. ACC 2016: 4918-4923 - [c28]Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha:
Topology control in mobile sensor networks using information space feedback. ACC 2016: 6405-6410 - [c27]Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma:
Data driven exploration of traffic network system dynamics using high resolution probe data. CDC 2016: 7629-7634 - [c26]Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar:
An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS 2016: 1:1-1:10 - [c25]Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar:
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. ICCPS 2016: 3:1-3:10 - [c24]Gaurav Saini, Soumik Sarkar, Mahima Arrawatia, Maryam Shojaei Baghini:
Efficient power management circuit for RF energy harvesting with 74.27% efficiency at 623nW available power. NEWCAS 2016: 1-4 - [c23]Soumik Sarkar, Gaurav Saini, Mahima Arrawatia, Maryam Shojaei Baghini:
Optimal design flow of CMOS doubler-based rectifiers. VDAT 2016: 1-6 - [i10]Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark Mullaney, Christopher Marett, Asheesh K. Singh, Arti Singh, Greg Tylka, Baskar Ganapathysubramanian, Soumik Sarkar:
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection. CoRR abs/1603.07834 (2016) - [i9]Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar:
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. CoRR abs/1603.07839 (2016) - [i8]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
Deep Action Sequence Learning for Causal Shape Transformation. CoRR abs/1605.05368 (2016) - [i7]Chao Liu, Kin Gwn Lore, Soumik Sarkar:
Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. CoRR abs/1605.06421 (2016) - [i6]Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo, Dermot Hayes, Patrick S. Schnable, Baskar Ganapathysubramanian, Soumik Sarkar:
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge. CoRR abs/1608.05127 (2016) - [i5]Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar:
A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. CoRR abs/1612.02141 (2016) - 2015
- [c22]Pritthi Chattopadhyay, Devesh K. Jha, Soumik Sarkar, Asok Ray:
Path planning in GPS-denied environments: A collective intelligence approach. ACC 2015: 3082-3087 - [c21]Adedotun Akintayo, Soumik Sarkar:
A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data. ACC 2015: 5824-5829 - [c20]Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee:
On distributed optimization using generalized gossip. CDC 2015: 2667-2672 - [c19]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS 2015: 213-225 - [c18]Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar:
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. CoCo@NIPS 2015 - [i4]Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar:
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement. CoRR abs/1511.03995 (2015) - [i3]Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar:
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. CoRR abs/1512.07592 (2015) - [i2]Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar:
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR abs/1512.07876 (2015) - 2014
- [j8]Soumik Sarkar, Kushal Mukherjee:
Event-Triggered Decision Propagation in Proximity Networks. Frontiers Robotics AI 1: 15 (2014) - [j7]Soumalya Sarkar, Soumik Sarkar, Nurali Virani, Asok Ray, Murat Yasar:
Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes. Frontiers Robotics AI 1: 16 (2014) - [i1]Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly:
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks. CoRR abs/1412.7007 (2014) - 2013
- [j6]Soumik Sarkar, Kushal Mukherjee, Asok Ray:
Distributed decision propagation in mobile-agent proximity networks. Int. J. Control 86(6): 1118-1130 (2013) - [c17]Soumik Sarkar, Abhishek Srivastav, Madhusudana V. S. Shashanka:
Maximally Bijective Discretization for data-driven modeling of complex systems. ACC 2013: 2674-2679 - [c16]Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar:
Spatiotemporal information fusion for fault detection in shipboard auxiliary systems. ACC 2013: 3846-3851 - 2012
- [j5]Soumik Sarkar, Kushal Mukherjee, Xin Jin, Dheeraj S. Singh, Asok Ray:
Optimization of symbolic feature extraction for pattern classification. Signal Process. 92(3): 625-635 (2012) - [j4]Soumik Sarkar, Kushal Mukherjee, Asok Ray, Abhishek Srivastav, Thomas A. Wettergren:
Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1083-1094 (2012) - [c15]Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray:
Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines. ACC 2012: 5132-5137 - [c14]Soumik Sarkar, Kushal Mukherjee, Asok Ray:
Distributed decision propagation in mobile agent networks. ACC 2012: 5276-5281 - 2011
- [c13]Soumik Sarkar, Dheeraj Sharan Singh, Abhishek Srivastav, Asok Ray:
Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines. ACC 2011: 220-225 - [c12]Dheeraj Sharan Singh, Soumik Sarkar, Shalabh Gupta, Asok Ray:
Optimal partitioning of ultrasonic data for fatigue damage detection? ACC 2011: 798-803 - 2010
- [c11]Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray:
Critical phenomena and finite-size scaling in communication networks? ACC 2010: 271-276 - [c10]Subhadeep Chakraborty, Soumik Sarkar, Asok Ray, Shashi Phoha:
Symbolic identification for anomaly detection in aircraft gas turbine engines. ACC 2010: 5954-5959 - [c9]Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray:
Distributed decision propagation in mobile agent networks. CDC 2010: 633-638
2000 – 2009
- 2009
- [j3]Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray:
Statistical estimation of multiple parameters via symbolic dynamic filtering. Signal Process. 89(6): 981-988 (2009) - [j2]Soumik Sarkar, Kushal Mukherjee, Asok Ray:
Generalization of Hilbert transform for symbolic analysis of noisy signals. Signal Process. 89(6): 1245-1251 (2009) - [j1]Chinmay Rao, Asok Ray, Soumik Sarkar, Murat Yasar:
Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns. Signal Image Video Process. 3(2): 101-114 (2009) - [c8]Soumik Sarkar, Chinmay Rao, Asok Ray:
Estimation of multiple faults in aircraft gas-turbine engines. ACC 2009: 216-221 - [c7]Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray:
Understanding phase transition in communication networks to enable robust and resilient control. ACC 2009: 1549-1554 - [c6]Soumik Sarkar, Kushal Mukherjee, Asok Ray:
Symbolic analysis of time series signals using generalized Hilbert transform. ACC 2009: 5422-5427 - [c5]Xin Jin, Soumik Sarkar, Kushal Mukherjee, Asok Ray:
Suboptimal partitioning of time-series data for anomaly detection. CDC 2009: 1020-1025 - 2008
- [c4]Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray:
Estimation of multiple parameters in dynamical systems. ACC 2008: 1292-1297 - [c3]Soumik Sarkar, Kushal Mukherjee, Asok Ray, Murat Yasar:
Fault diagnosis and isolation in aircraft gas turbine engines. ACC 2008: 2166-2171 - [c2]Subhadeep Chakraborty, Soumik Sarkar, Asok Ray:
Symbolic identification and anomaly detection in complex dynamical systems. ACC 2008: 2792-2797 - [c1]Chinmay Rao, Soumik Sarkar, Asok Ray, Murat Yasar:
Comparative evaluation of Symbolic Dynamic Filtering for detection of anomaly patterns. ACC 2008: 3052-3057
Coauthor Index
[j38] [j37] [j36] [j35] [c64] [c63] [i82] [i79] [i78] [i76] [i74] [i73] [j32] [j31] [i72] [i71] [i67] [j29] [c61] [c60] [c58] [i63] [i60] [i59] [j26] [j25] [j24] [j20] [j19] [c56] [c54] [c52] [c51] [i55] [i53] [i52] [i50] [i49] [i47] [i39] [i36] [c42] [i29] [i28] [j17] [i23] [i22] [i17] [i16] [c31] [i15] [i12] [i11] [i5]
Talukder Z. Jubery
aka: Talukder Zaki Jubery
aka: Talukder Zaki Jubery
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