Kevin Ellis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | OmniCode: A Benchmark for Evaluating Software Development Agents. | Atharv Sonwane, Eng-Shen Tu, Wei-Chung Lu, Claas Beger, Carter Larsen, Debjit Dhar, Simon Alford, Rachel Chen, Ronit Pattanayak, Tuan Anh Dang, Guohao Chen, Gloria Geng, Kevin Ellis, Saikat Dutta |
| 2025 | ICLR | VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. | Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, Joo F. Henriques, Kevin Ellis |
| 2025 | ICLR | Combining Induction and Transduction for Abstract Reasoning. | Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis |
| 2025 | ICML | Position: Future Research and Challenges Remain Towards AI for Software Engineering. | Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama |
| 2024 | CogSci | Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning. | Top Piriyakulkij, Kevin Ellis |
| 2024 | CVPR | Rapid Motor Adaptation for Robotic Manipulator Arms. | Yichao Liang, Kevin Ellis, Joo F. Henriques |
| 2023 | ICML | From Perception to Programs: Regularize, Overparameterize, and Amortize. | Hao Tang, Kevin Ellis |
| 2022 | AAAI | Scaling Neural Program Synthesis with Distribution-Based Search. | Nathanal Fijalkow, Guillaume Lagarde, Tho Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Nayan Potta |
| 2022 | ICLR | Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. | Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth Narayanaswamy, Samuel Gershman, Joshua B. Tenenbaum |
| 2022 | ICLR | CrossBeam: Learning to Search in Bottom-Up Program Synthesis. | Kensen Shi, Hanjun Dai, Kevin Ellis, Charles Sutton |
| 2022 | IJCAI | Making Sense of Raw Input (Extended Abstract). | Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot |
| 2022 | PLDI | From perception to programs: regularize, overparameterize, and amortize. | Hao Tang, Kevin Ellis |
| 2021 | ICML | Leveraging Language to Learn Program Abstractions and Search Heuristics. | Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas |
| 2021 | PLDI | DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. | Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sabl-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum |
| 2019 | CATA | Parking Lot Occupancy Tracking Through Image Processing. | Marcos Lopez, Terry Griffin, Kevin Ellis, Anthony Enem, Christopher Duhan |
| 2019 | CogSci | Modeling Expertise with Neurally-Guided Bayesian Program Induction. | Catherine Wong, Kevin Ellis, Mathias Sabl-Meyer, Josh Tenenbaum |
| 2019 | ICLR | Learning to Infer and Execute 3D Shape Programs. | Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2017 | IJCAI | Learning to Learn Programs from Examples: Going Beyond Program Structure. | Kevin Ellis, Sumit Gulwani |
| 2014 | ECAI | Bias reformulation for one-shot function induction. | Dianhuan Lin, Eyal Dechter, Kevin Ellis, Joshua B. Tenenbaum, Stephen H. Muggleton |