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ORCIDVaibhav Saxena
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2020 – today
- 2024
[i8]Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Scaling Granite Code Models to 128K Context. CoRR abs/2407.13739 (2024)- 2023
- [c18]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. ICRA 2023: 2869-2875 - [i7]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. CoRR abs/2305.17252 (2023) - [i6]Vaibhav Saxena, Yotto Koga, Danfei Xu:
Constrained-Context Conditional Diffusion Models for Imitation Learning. CoRR abs/2311.01419 (2023) - 2022
- [c17]Riya Samanta
, Vaibhav Saxena, Soumya K. Ghosh, Sajal K. Das:
Volunteer Selection in Collaborative Crowdsourcing with Adaptive Common Working Time Slots. GLOBECOM 2022: 4643-4648 - 2021
- [c16]Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal:
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. IEEE BigData 2021: 790-800 - [c15]Vaibhav Saxena, Jimmy Ba, Danijar Hafner:
Clockwork Variational Autoencoders. NeurIPS 2021: 29246-29257 - [i5]Vaibhav Saxena, Jimmy Ba, Danijar Hafner:
Clockwork Variational Autoencoders. CoRR abs/2102.09532 (2021) - 2020
- [c14]Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma:
Effective Elastic Scaling of Deep Learning Workloads. MASCOTS 2020: 1-8 - [i4]Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma:
Effective Elastic Scaling of Deep Learning Workloads. CoRR abs/2006.13878 (2020)
2010 – 2019
- 2019
- [i3]Vaibhav Saxena, Srinivasan Sivanandan, Pulkit Mathur:
Dyna-AIL : Adversarial Imitation Learning by Planning. CoRR abs/1903.03234 (2019) - 2018
- [c13]Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma, Sameer Kumar:
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CLUSTER 2018: 392-401 - [c12]Saurav Basu, Vaibhav Saxena, Rintu Panja, Ashish Verma:
Balancing Stragglers Against Staleness in Distributed Deep Learning. HiPC 2018: 12-21 - [c11]Sarthak Agarwal, Vaibhav Saxena, Vaibhav Singal, Swati Aggarwal:
LSTM based Music Generation with Dataset Preprocessing and Reconstruction Techniques. SSCI 2018: 455-462 - 2017
- [c10]Vaibhav Saxena, Nikhil Yadala, Rishav Chourasia, Frank Chung-Hoon Rhee:
Type reduction techniques for two-dimensional interval type-2 fuzzy sets. FUZZ-IEEE 2017: 1-6 - [c9]Rishav Chourasia, Vaibhav Saxena, Nikhil Yadala, Frank Chung-Hoon Rhee:
Visualization of two-dimensional interval type-2 fuzzy membership functions using general type-2 fuzzy membership functions. IFSA-SCIS 2017: 1-5 - [i2]Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar:
PowerAI DDL. CoRR abs/1708.02188 (2017) - [i1]Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma:
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CoRR abs/1711.00705 (2017) - 2015
- [c8]Vaibhav Saxena, Thomas George, Yogish Sabharwal, Lucas Villa Real:
Architecture Aware Resource Allocation for Structured Grid Applications: Flood Modelling Case. CCGRID 2015: 555-564 - 2013
- [j2]Lloyd A. Treinish, Anthony Praino, James P. Cipriani, Ulisses T. Mello, Kiran Mantripragada, Lucas Villa Real, Paula A. Sesini, Vaibhav Saxena, Thomas George, Rashmi Mittal:
Enabling high-resolution forecasting of severe weather and flooding events in Rio de Janeiro. IBM J. Res. Dev. 57(5) (2013) - [j1]Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish S. Vadhiyar:
A divide and conquer strategy for scaling weather simulations with multiple regions of interest. Sci. Program. 21(3-4): 93-107 (2013) - [c7]Gurbinder Singh Gill, Vaibhav Saxena, Rashmi Mittal, Thomas George, Yogish Sabharwal, Lalit Dagar:
Evaluation and enhancement of weather application performance on Blue Gene/Q. HiPC 2013: 324-332 - 2012
- [c6]Preeti Malakar, Vaibhav Saxena, Thomas George, Rashmi Mittal, Sameer Kumar, Abdul Ghani Naim, Saiful Azmi bin Hj Husain:
Performance Evaluation and Optimization of Nested High Resolution Weather Simulations. Euro-Par 2012: 805-817 - [c5]Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish S. Vadhiyar:
A divide and conquer strategy for scaling weather simulations with multiple regions of interest. SC 2012: 37 - 2011
- [c4]Thomas George, Vaibhav Saxena, Anshul Gupta, Amik Singh, Anamitra R. Choudhury:
Multifrontal Factorization of Sparse SPD Matrices on GPUs. IPDPS 2011: 372-383 - 2010
- [c3]Vaibhav Saxena, Jonathan Rohrer, Leiguang Gong:
A Parallel GPU Algorithm for Mutual Information Based 3D Nonrigid Image Registration. Euro-Par (2) 2010: 223-234 - [c2]Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia:
Performance evaluation and optimization of random memory access on multicores with high productivity. HiPC 2010: 1-10
2000 – 2009
- 2008
- [c1]Vaibhav Saxena, Prashant Agrawal, Yogish Sabharwal, Vijay K. Garg, Vimitha A. Kuruvilla, John A. Gunnels:
Optimization of BLAS on the Cell Processor. HiPC 2008: 18-29
Coauthor Index
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