Singh, Rishabh

25 publications

NeurIPS 2025 SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, Lingming Zhang, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida Wang

ICML 2023 Measuring the Impact of Programming Language Distribution Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta

ICLR 2021 BUSTLE: Bottom-up Program Synthesis Through Learning-Guided Exploration Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai

ICML 2021 Latent Programmer: Discrete Latent Codes for Program Synthesis Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer

NeurIPS 2021 Learning Semantic Representations to Verify Hardware Designs Shobha Vasudevan, Wenjie Jiang, David Bieber, Rishabh Singh, Hamid Shojaei, C. Richard Ho, Charles A. Sutton

ICLR 2021 Scaling Symbolic Methods Using Gradients for Neural Model Explanation Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley

ICML 2021 SpreadsheetCoder: Formula Prediction from Semi-Structured Context Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou

ICML 2020 Generating Programmatic Referring Expressions via Program Synthesis Jiani Huang, Calvin Smith, Osbert Bastani, Rishabh Singh, Aws Albarghouthi, Mayur Naik

ICLR 2020 Global Relational Models of Source Code Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh, Petros Maniatis, David Bieber

NeurIPS 2020 Learning Discrete Energy-Based Models via Auxiliary-Variable Local Exploration Hanjun Dai, Rishabh Singh, Bo Dai, Charles A. Sutton, Dale Schuurmans

NeurIPSW 2020 TF-Coder: Program Synthesis for Tensor Manipulations Kensen Shi, David Bieber, Rishabh Singh

UAI 2020 Time Series Analysis Using a Kernel Based Multi-Modal Uncertainty Decomposition Framework Rishabh Singh, Jose Principe

NeurIPS 2019 Learning Transferable Graph Exploration Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli

ICLR 2019 Neural Program Repair by Jointly Learning to Localize and Repair Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh

ICLR 2019 Synthetic Datasets for Neural Program Synthesis Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song

AAAI 2019 VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System Abhinav Kumar, Aishwarya Gupta, Bishal Santra, K. S. Lalitha, Manasa Kolla, Mayank Gupta, Rishabh Singh

ICLR 2018 Dynamic Neural Program Embeddings for Program Repair Ke Wang, Rishabh Singh, Zhendong Su

ICMLW 2018 Execution-Guided Neural Program Decoding Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh

NeurIPS 2018 Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang, Armando Solar-Lezama, Rishabh Singh

ICLR 2018 Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis Rudy Bunel, Matthew Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli

ICML 2018 Programmatically Interpretable Reinforcement Learning Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri

ICMLW 2018 Towards Mixed Optimization forReinforcement Learning with Program Synthesis Surya Bhupatiraju, Kumar Krishna Agrawal, Rishabh Singh

NeurIPS 2017 Neural Program Meta-Induction Jacob Devlin, Rudy R Bunel, Rishabh Singh, Matthew Hausknecht, Pushmeet Kohli

ICLR 2017 Neuro-Symbolic Program Synthesis Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli

ICML 2017 RobustFill: Neural Program Learning Under Noisy I/O Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli