Siddhartha Jain

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Immune Response

Top Venues

Publications

Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR (2024)
Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang
Lightweight reranking for language model generations. ACL (1) (2024)
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR (2024)
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati
Multi-lingual Evaluation of Code Generation Models. ICLR (2023)
Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang
Self-consistency for open-ended generations. CoRR (2023)
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
Multi-lingual Evaluation of Code Generation Models. CoRR (2022)
Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford
Overinterpretation reveals image classification model pathologies. NeurIPS (2021)
Zheng Dai, Brooke D. Huisman, Haoyang Zeng, Brandon Carter, Siddhartha Jain, Michael E. Birnbaum, David K. Gifford
Machine learning optimization of peptides for presentation by class II MHCs. Bioinform. 37 (19) (2021)
Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. AAAI (2020)
Brandon Carter, Siddhartha Jain, Jonas Mueller, David K. Gifford
Overinterpretation reveals image classification model pathologies. CoRR (2020)
Siddhartha Jain, Ge Liu, David K. Gifford
Information Condensing Active Learning. CoRR (2020)
Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford
What made you do this? Understanding black-box decisions with sufficient input subsets. AISTATS (2019)
Siddhartha Jain, Ge Liu, Jonas Mueller, David K. Gifford
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. CoRR (2019)
Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford
What made you do this? Understanding black-box decisions with sufficient input subsets. CoRR (2018)
Siddhartha Jain, Joel Arrais, Narasimhan J. Venkatachari, Velpandi Ayyavoo, Ziv Bar-Joseph
Reconstructing the temporal progression of HIV-1 immune response pathways. Bioinform. 32 (12) (2016)
Siddhartha Jain, Anthony Gitter, Ziv Bar-Joseph
Multitask Learning of Signaling and Regulatory Networks with Application to Studying Human Response to Flu. PLoS Comput. Biol. 10 (12) (2014)
Siddhartha Jain, Pascal Van Hentenryck
Large Neighborhood Search for Dial-a-Ride Problems. CP (2011)
Siddhartha Jain, Ashish Sabharwal, Meinolf Sellmann
A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT. AAAI (2011)
Siddhartha Jain, Serdar Kadioglu, Meinolf Sellmann
Upper Bounds on the Number of Solutions of Binary Integer Programs. CPAIOR (2010)
Siddhartha Jain, Eoin O'Mahony, Meinolf Sellmann
A Complete Multi-valued SAT Solver. CP (2010)