default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSarthak Jain
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j9]Sarthak Jain, Sandra E. Safo
:
DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification. Briefings Bioinform. 25(4) (2024)- [c34]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Sparsity-Constrained Community-Based Group Testing. ISIT 2024: 3219-3224 - [c33]Avinash Anand, Sarthak Jain, Shashank Sharma, Akhil P. Dominic, Aman Gupta, Ashta Verma, Raj Jaiswal, Naman Lal, Rajiv Ratn Shah, Roger Zimmermann:
Pulse of the Crowd: Quantifying Crowd Energy through Audio and Video Analysis. MIPR 2024: 308-314 - [c32]Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya:
Game-theoretic Counterfactual Explanation for Graph Neural Networks. WWW 2024: 503-514 - [i27]Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya:
Game-theoretic Counterfactual Explanation for Graph Neural Networks. CoRR abs/2402.06030 (2024) - [i26]Fei Wang, Chao Shang, Sarthak Jain, Shuai Wang, Qiang Ning, Bonan Min, Vittorio Castelli, Yassine Benajiba, Dan Roth:
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification. CoRR abs/2403.06326 (2024) - [i25]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Sparsity-Constrained Community-Based Group Testing. CoRR abs/2403.12419 (2024) - [i24]Orchid Chetia Phukan, Sarthak Jain, Shubham Singh, Muskaan Singh, Arun Balaji Buduru, Rajesh Sharma:
ComFeAT: Combination of Neural and Spectral Features for Improved Depression Detection. CoRR abs/2406.06774 (2024) - [i23]Devyani Koshal, Orchid Chetia Phukan, Sarthak Jain, Arun Balaji Buduru, Rajesh Sharma:
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation. CoRR abs/2406.06781 (2024) - [i22]Sarthak Jain, Orchid Chetia Phukan, Arun Balaji Buduru, Rajesh Sharma:
The Reasonable Effectiveness of Speaker Embeddings for Violence Detection. CoRR abs/2406.06798 (2024) - [i21]Sarthak Jain, Aditya Dora, Ka Seng Sam, Prabhat Singh:
LLM Agents Improve Semantic Code Search. CoRR abs/2408.11058 (2024) - [i20]Orchid Chetia Phukan, Sarthak Jain, Swarup Ranjan Behera, Arun Balaji Buduru, Rajesh Sharma, S. R. Mahadeva Prasanna:
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models. CoRR abs/2409.14131 (2024) - 2023
- [j8]Biswajit Jena, Sarthak Jain, Gopal Krishna Nayak, Sanjay Saxena:
Analysis of depth variation of U-NET architecture for brain tumor segmentation. Multim. Tools Appl. 82(7): 10723-10743 (2023) - [j7]Jayoung Lee, Pengcheng Wang, Ran Xu, Sarthak Jain, Venkat Dasari, Noah Weston, Yin Li, Saurabh Bagchi, Somali Chaterji:
Virtuoso: Energy- and Latency-aware Streamlining of Streaming Videos on Systems-on-Chips. ACM Trans. Design Autom. Electr. Syst. 28(3): 31:1-31:32 (2023) - [c31]Akhil Bandarupalli, Sarthak Jain, Akash Melachuri, Joseph Pappas, Somali Chaterji:
Vega: Drone-based Multi-Altitude Target Detection for Autonomous Surveillance. DCOSS-IoT 2023: 209-216 - [c30]Jinghan Yang, Sarthak Jain, Byron C. Wallace:
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL 2023: 2563-2576 - [c29]Rajesh M. Pindoriya, Harshvardhan Golechha, Ankit Kumar, Vineet Ahuja, Anubhav Sharma, Arshdeep Singh, Sarthak Jain:
A Review of Recent Developments and Challenges in the Selection of Design Parameters for Green Hydrogen Electric Vehicles. IAS 2023: 1-7 - [c28]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Probabilistic Group Testing in Distributed Computing with Attacked Workers. ISIT 2023: 1615-1620 - [c27]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Improved Bounds For Efficiently Decodable Probabilistic Group Testing With Unreliable Items. ITW 2023: 359-364 - [c26]Naveen Shenoy, Pratham Nayak, Sarthak Jain, S. Sowmya Kamath, Vijayan Sugumaran:
Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-Scale Biomedical Document Corpora. NLDB 2023: 404-415 - [i19]Jinghan Yang, Sarthak Jain, Byron C. Wallace:
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? CoRR abs/2302.02169 (2023) - [i18]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Probabilistic Group Testing in Distributed Computing with Attacked Workers. CoRR abs/2305.06526 (2023) - [i17]Sarthak Jain, Sandra E. Safo:
A deep learning pipeline for cross-sectional and longitudinal multiview data integration. CoRR abs/2312.01238 (2023) - 2022
- [j6]Archana Purwar, Indu Chawla, Sarthak Jain, Rahul Malhotra, Dhanesh Chaudhary:
Stock Recommendation and Trade Assistance. Int. J. Inf. Technol. Proj. Manag. 13(3): 1-17 (2022) - [j5]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Optimality of Energy-Efficient Scheduling and Relaying for Half-Duplex Relay Networks. IEEE J. Sel. Areas Inf. Theory 3(1): 37-53 (2022) - [c25]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) 2022: 1934-1946 - [c24]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. EMNLP (Findings) 2022: 824-839 - [c23]Aniket Sangwan, Sarthak Jain, Neminath Hubballi:
WiP: EventTracker-Event Driven Evidence Collection for Digital Forensics. ICISS 2022: 247-259 - [c22]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Identifying Reliable Machines for Distributed Matrix-Vector Multiplication. ISIT 2022: 820-825 - [i16]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. CoRR abs/2210.14177 (2022) - 2021
- [j4]Vikas Hassija, Vinay Chamola, Vatsal Gupta, Sarthak Jain, Nadra Guizani:
A Survey on Supply Chain Security: Application Areas, Security Threats, and Solution Architectures. IEEE Internet Things J. 8(8): 6222-6246 (2021) - [j3]Sarthak Jain, Soheil Mohajer, Martina Cardone:
Gaussian Half-Duplex Diamond Networks: Ratio of Capacity the Best Relay Can Achieve. IEEE Trans. Wirel. Commun. 20(8): 5273-5287 (2021) - [c21]Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon:
Modular Self-Supervision for Document-Level Relation Extraction. EMNLP (1) 2021: 5291-5302 - [c20]Sarthak Jain, R. S. Gamad, R. C. Gurjar:
Design of a Low-Power One-Sided Schmitt-Trigger Based 13T SRAM Bitcell. ICCCNT 2021: 1-5 - [c19]Sarthak Jain, Martina Cardone, Soheil Mohajer:
When an Energy-Efficient Scheduling is Optimal for Half-Duplex Relay Networks? ISIT 2021: 1350-1355 - [c18]Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? NAACL-HLT 2021: 946-959 - [c17]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT 2021: 967-975 - [i15]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. CoRR abs/2104.04128 (2021) - [i14]Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? CoRR abs/2104.07762 (2021) - [i13]Sarthak Jain, Martina Cardone, Soheil Mohajer:
When an Energy-Efficient Scheduling is Optimal for Half-Duplex Relay Networks? CoRR abs/2105.03064 (2021) - [i12]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. CoRR abs/2107.00323 (2021) - [i11]Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon:
Modular Self-Supervision for Document-Level Relation Extraction. CoRR abs/2109.05362 (2021) - 2020
- [j2]Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray:
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - [c16]Lucy Lu Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar:
SUPP.AI: finding evidence for supplement-drug interactions. ACL (demo) 2020: 362-371 - [c15]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL 2020: 4443-4458 - [c14]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. ACL 2020: 4459-4473 - [c13]Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, Iz Beltagy:
SciREX: A Challenge Dataset for Document-Level Information Extraction. ACL 2020: 7506-7516 - [c12]Sarthak Jain, Soheil Mohajer, Martina Cardone:
On the Fraction of Capacity One Relay can Achieve in Gaussian Half-Duplex Diamond Networks. ISIT 2020: 1593-1598 - [c11]Sarthak Jain, Martina Cardone, Soheil Mohajer:
Operating Half-Duplex Diamond Networks with Two Interfering Relays. ITW 2020: 1-5 - [i10]Sarthak Jain, Soheil Mohajer, Martina Cardone:
Best Relay Selection in Gaussian Half-Duplex Diamond Networks. CoRR abs/2001.02851 (2020) - [i9]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. CoRR abs/2005.00115 (2020) - [i8]Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, Iz Beltagy:
SciREX: A Challenge Dataset for Document-Level Information Extraction. CoRR abs/2005.00512 (2020)
2010 – 2019
- 2019
- [j1]Mitchell Easley, Sarthak Jain, Mohammad B. Shadmand, Haitham Abu-Rub:
Computationally Efficient Distributed Predictive Controller for Cascaded Multilevel Impedance Source Inverter With LVRT Capability. IEEE Access 7: 35731-35742 (2019) - [c10]Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Structured Disentangled Representations. AISTATS 2019: 2525-2534 - [c9]Pabitra Kumar Mishra, Umamani Subudhi, Sarthak Jain:
Power Quality Disturbances Classification with Deep Learning Approach. ICIT 2019: 273-278 - [c8]Sarthak Jain, Mehran Elyasi, Martina Cardone, Soheil Mohajer:
On Simple Scheduling in Half-Duplex Relay Diamond Networks. ISIT 2019: 2529-2533 - [c7]Sarthak Jain, Byron C. Wallace:
Attention is not Explanation. NAACL-HLT (1) 2019: 3543-3556 - [i7]Sarthak Jain, Byron C. Wallace:
Attention is not Explanation. CoRR abs/1902.10186 (2019) - [i6]Sarthak Jain, Ramin Mohammadi, Byron C. Wallace:
An Analysis of Attention over Clinical Notes for Predictive Tasks. CoRR abs/1904.03244 (2019) - [i5]Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar V. Kamarthi, Byron C. Wallace:
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. CoRR abs/1907.00089 (2019) - [i4]Lucy Lu Wang, Oyvind Tafjord, Sarthak Jain, Arman Cohan, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar:
Extracting evidence of supplement-drug interactions from literature. CoRR abs/1909.08135 (2019) - [i3]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR abs/1911.03429 (2019) - 2018
- [c6]Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace:
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. EMNLP 2018: 4683-4693 - [c5]P. Veda Bhanu, Pranav Venkatesh Kulkarni, Sarthak Jain, Soumya J., Linga Reddy Cenkeramaddi, Henning Idsoe:
Fault-Tolerant Network-on-Chip Design for Mesh-of-Tree Topology Using Particle Swarm Optimization. TENCON 2018: 2384-2389 - [i2]Babak Esmaeili, Hao Wu, Sarthak Jain, N. Siddharth, Brooks Paige, Jan-Willem van de Meent:
Hierarchical Disentangled Representations. CoRR abs/1804.02086 (2018) - [i1]Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace:
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. CoRR abs/1804.07212 (2018) - 2017
- [c4]Sarthak Jain, Xun Peng, Byron C. Wallace:
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. SMM4H@AMIA 2017: 72-75 - 2016
- [c3]Sarthak Jain:
Question Answering over Knowledge Base using Factual Memory Networks. SRW@HLT-NAACL 2016: 109-115 - 2015
- [c2]Sarthak Jain, Shashank Batra:
Cross Lingual Sentiment Analysis using Modified BRAE. EMNLP 2015: 159-168 - [c1]Saatvik Shah, Vaibhav Jain, Sarthak Jain, Anshul Mittal, Jatin Verma, Shubham Tripathi, Rajesh Kumar:
Hierarchical classification for Multilingual Language Identification and Named Entity Recognition. FIRE Workshops 2015: 33-36
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
