---
title: "Pushmeet Kohli — all works — Elamur Research"
description: "All 33 works of Pushmeet Kohli in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/pushmeet-kohli/works/"
---
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# Pushmeet Kohli — all works

33 works · [← Pushmeet Kohli](https://md.research.elamur.ai/free/en/authors/pushmeet-kohli/)

1. **[Improved protein structure prediction using potentials from deep learning ↗](https://doi.org/10.1038/s41586-019-1923-7) Nature · no summary yet**Andrew Senior et al.*2020 · 3,388 citations*
2. **[A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories ↗](https://aclanthology.org/N16-1098/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Nasrin Mostafazadeh et al.*2016 · 1,116 citations*
3. **[Magnetic control of tokamak plasmas through deep reinforcement learning ↗](https://doi.org/10.1038/s41586-021-04301-9) Nature · no summary yet**Jonas Degrave et al.*2022 · 756 citations*
4. **[Efficient Human Pose Estimation from Single Depth Images ↗](https://doi.org/10.1109/tpami.2012.241) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Jamie Shotton et al.*2012 · 582 citations*
5. **[Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding ↗](https://arxiv.org/abs/1810.02338) arXiv:1810.02338 · no summary yet**Kexin Yi et al.*2018 · 407 citations*
6. **[Visual Storytelling](https://md.research.elamur.ai/free/en/papers/huang-2016-visual-storytelling/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.*2016 · 356 citations*
7. **[Efficient regression of general-activity human poses from depth images ↗](https://doi.org/10.1109/iccv.2011.6126270) International Conference on Computer Vision · no summary yet**Ross Girshick et al.*2011 · 348 citations*
8. **[Graph Matching Networks for Learning the Similarity of Graph Structured Objects ↗](https://arxiv.org/abs/1904.12787) arXiv (Cornell University) · no summary yet**Yujia Li et al.*2019 · 298 citations*
9. [**Analysing Mathematical Reasoning Abilities of Neural Models arXiv:1904.01557**David Saxton, Edward Grefenstette, Felix Hill, et al.*2019 · 288 citations*](https://md.research.elamur.ai/free/en/papers/saxton-2019-analysing-mathematical-reasoning-abilities-neural/)
10. **[The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision ↗](https://arxiv.org/abs/1904.12584) arXiv:1904.12584 · no summary yet**Jiayuan Mao et al.*2019 · 241 citations*
11. **[Challenges in Detoxifying Language Models](https://md.research.elamur.ai/free/en/papers/welbl-2021-challenges-detoxifying-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Johannes Welbl, Amelia Glaese, Jonathan Uesato, et al.*2021 · 213 citations*
12. [**Mathematical Discoveries from Program Search with Large Language Models Nature 625**Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, et al.*2023 · 200 citations*](https://md.research.elamur.ai/free/en/papers/paredes-2023-mathematical-discoveries-program-search-large/)
13. **[Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation](https://md.research.elamur.ai/free/en/papers/huang-2019-achieving-verified-robustness-symbol-substitutions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Po-Sen Huang, Robert Stanforth, Johannes Welbl, et al.*2019 · 163 citations*
14. **[Neuro-Symbolic Program Synthesis ↗](https://arxiv.org/abs/1611.01855) arXiv:1611.01855 · no summary yet**Emilio Parisotto et al.*2016 · 152 citations*
15. **[Scalable Verified Training for Provably Robust Image Classification ↗](https://doi.org/10.1109/iccv.2019.00494) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Sven Gowal et al.*2019 · 149 citations*
16. **[Picture: A probabilistic programming language for scene perception ↗](https://doi.org/10.1109/cvpr.2015.7299068) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tejas D. Kulkarni et al.*2015 · 145 citations*
17. **[Neural Scene De-rendering ↗](https://doi.org/10.1109/cvpr.2017.744) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli*2017 · 119 citations*
18. **[Reducing Sentiment Bias in Language Models via Counterfactual Evaluation ↗](https://arxiv.org/abs/1911.03064) arXiv:1911.03064 · no summary yet**Po-Sen Huang et al.*2019 · 104 citations*
19. **[Learning to Understand Goal Specifications by Modelling Reward ↗](https://arxiv.org/abs/1806.01946) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2018 · 91 citations*
20. **[Sparse projections for high-dimensional binary codes ↗](https://doi.org/10.1109/cvpr.2015.7298954) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yan Xia et al.*2015 · 84 citations*
21. **[Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis ↗](https://arxiv.org/abs/1805.04276) arXiv:1805.04276 · no summary yet**Rudy Bunel et al.*2018 · 66 citations*
22. **[GeoF: Geodesic Forests for Learning Coupled Predictors ↗](https://doi.org/10.1109/cvpr.2013.16) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Peter Kontschieder et al.*2013 · 63 citations*
23. **[A Principled Deep Random Field Model for Image Segmentation ↗](https://doi.org/10.1109/cvpr.2013.257) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pushmeet Kohli, Anton Osokin, Stefanie Jegelka*2013 · 59 citations*
24. **[Learning Continuous Semantic Representations of Symbolic Expressions ↗](https://arxiv.org/abs/1611.01423) arXiv:1611.01423 · no summary yet**Miltiadis Allamanis et al.*2016 · 57 citations*
25. **[Solving Mixed Integer Programs Using Neural Networks ↗](https://arxiv.org/abs/2012.13349) arXiv:2012.13349 · no summary yet**Vinod Nair et al.*2020 · 52 citations*
26. **[Can Neural Networks Understand Logical Entailment? ↗](https://arxiv.org/abs/1802.08535) arXiv:1802.08535 · no summary yet**Richard Evans et al.*2018 · 44 citations*
27. **[Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ↗](https://arxiv.org/abs/1905.02494) arXiv (Cornell University) · no summary yet**Aditya Paliwal et al.*2019 · 40 citations*
28. **[A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities ↗](https://arxiv.org/abs/1905.13077) arXiv (Cornell University) · no summary yet**Simon Köhl et al.*2019 · 23 citations*
29. **[Strong Generalization and Efficiency in Neural Programs ↗](https://arxiv.org/abs/2007.03629) arXiv (Cornell University) · no summary yet**Yujia Li et al.*2020 · 22 citations*
30. **[Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming ↗](https://arxiv.org/abs/2010.11645) arXiv:2010.11645 · no summary yet**Sumanth Dathathri et al.*2020 · 21 citations*
31. **[Jointly Learning "What" and "How" from Instructions and Goal-States. ↗](https://openalex.org/W2941951382) International Conference on Learning Representations · no summary yet**Dzmitry Bahdanau et al.*2018 · 3 citations*
32. **[Efficient Regression of General-Activity Human Poses from Depth Images: Supplementary Material ↗](https://openalex.org/W2183469513) no summary yet**Ross Girshick et al.*2011 · 1 citation*
33. **[R. Shoulder 0.35 0.40 L. Elbow 0.15 0.15 ↗](https://openalex.org/W7099184697) no summary yet**Ross Girshick et al.*2015*