---
title: "Soumith Chintala — all works — Elamur Research"
description: "All 42 works of Soumith Chintala 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/soumith-chintala/works/"
---
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# Soumith Chintala — all works

42 works · [← Soumith Chintala](https://md.research.elamur.ai/free/en/authors/soumith-chintala/)

1. **[Automatic differentiation in PyTorch ↗](https://openalex.org/W2899771611) no summary yet**Adam Paszke et al.*2017 · 10,764 citations*
2. [**Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks arXiv:1511.06434**Alec Radford, Luke Metz, Soumith Chintala*2015 · 6,654 citations*](https://md.research.elamur.ai/free/en/papers/radford-2015-unsupervised-representation-learning-deep-convolutional/)
3. **[Wasserstein Generative Adversarial Networks ↗](https://openalex.org/W2739748921) International Conference on Machine Learning · no summary yet**Martín Arjovsky, Soumith Chintala, Léon Bottou*2017 · 4,773 citations*
4. **[Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks ↗](https://arxiv.org/abs/1506.05751) arXiv (Cornell University) · no summary yet**Emily Denton et al.*2015 · 1,626 citations*
5. **[Pedestrian Detection with Unsupervised Multi-stage Feature Learning ↗](https://doi.org/10.1109/cvpr.2013.465) 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**Pierre Sermanet et al.*2013 · 759 citations*
6. **[Wasserstein GAN ↗](https://arxiv.org/abs/1701.07875) arXiv (Cornell University) · no summary yet**Martín Arjovsky, Soumith Chintala, Léon Bottou*2017 · 716 citations*
7. **[Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective ↗](https://doi.org/10.1109/hpca.2018.00059) Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings · no summary yet**Kim Hazelwood et al.*2018 · 623 citations*
8. **[Semantic Segmentation using Adversarial Networks ↗](https://arxiv.org/abs/1611.08408) arXiv (Cornell University) · no summary yet**Pauline Luc et al.*2016 · 555 citations*
9. **[PyTorch distributed ↗](https://doi.org/10.14778/3415478.3415530) Proceedings of the VLDB Endowment · no summary yet**Li Shen et al.*2020 · 502 citations*
10. [**PyTorch Distributed: Experiences on Accelerating Data Parallel Training arXiv:2006.15704**Shen Li, Yanli Zhao, Rohan Varma, et al.*2020 · 348 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-pytorch-distributed-experiences-accelerating-data/)
11. **[Convolutional Neural Networks Applied to House Numbers Digit Classification ↗](https://arxiv.org/abs/1204.3968) arXiv (Cornell University) · no summary yet**Pierre Sermanet, Soumith Chintala, Yann LeCun*2012 · 337 citations*
12. **[Fast Convolutional Nets With fbfft: A GPU Performance Evaluation ↗](https://arxiv.org/abs/1412.7580) arXiv (Cornell University) · no summary yet**Nicolas Vasilache et al.*2014 · 271 citations*
13. **[A MultiPath Network for Object Detection ↗](https://doi.org/10.5244/c.30.15) British Machine Vision Conference (BMVC) · no summary yet**Sergey Zagoruyko et al.*2016 · 240 citations*
14. **[Discovering Causal Signals in Images ↗](https://doi.org/10.1109/cvpr.2017.14) 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**David López-Paz et al.*2017 · 211 citations*
15. **[Navigating to objects in the real world ↗](https://doi.org/10.1126/scirobotics.adf6991) Science Robotics · no summary yet**Théophile Gervet et al.*2023 · 136 citations*
16. **[Generalized Inner Loop Meta-Learning ↗](https://arxiv.org/abs/1910.01727) arXiv (Cornell University) · no summary yet**Edward Grefenstette et al.*2019 · 101 citations*
17. **[Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks ↗](https://arxiv.org/abs/1609.02993) arXiv (Cornell University) · no summary yet**Nicolas Usunier et al.*2016 · 96 citations*
18. **[CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory ↗](https://doi.org/10.15607/rss.2023.xix.074) arXiv:2210.05663 · no summary yet**Nur Muhammad Mahi Shafiullah et al.*2023 · 93 citations*
19. **[A Mathematical Motivation for Complex-Valued Convolutional Networks ↗](https://doi.org/10.1162/neco_a_00824) Neural Computation · no summary yet**Mark Tygert et al.*2016 · 87 citations*
20. **[TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games ↗](https://arxiv.org/abs/1611.00625) arXiv (Cornell University) · no summary yet**Gabriel Synnaeve et al.*2016 · 83 citations*
21. **[Transformation-Based Models of Video Sequences ↗](https://arxiv.org/abs/1701.08435) arXiv (Cornell University) · no summary yet**Joost van Amersfoort et al.*2017 · 60 citations*
22. **[Holo-Dex: Teaching Dexterity with Immersive Mixed Reality ↗](https://doi.org/10.1109/icra48891.2023.10160547) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Sridhar Pandian Arunachalam et al.*2023 · 52 citations*
23. **[MazeBase: A Sandbox for Learning from Games ↗](https://arxiv.org/abs/1511.07401) arXiv (Cornell University) · no summary yet**Sainbayar Sukhbaatar et al.*2015 · 49 citations*
24. **[TorchAudio: Building Blocks for Audio and Speech Processing ↗](https://arxiv.org/abs/2110.15018) arXiv:2110.15018 · no summary yet**Yao-Yuan Yang et al.*2021 · 34 citations*
25. **[See to Touch: Learning Tactile Dexterity through Visual Incentives ↗](https://doi.org/10.1109/icra57147.2024.10611407) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Irmak Guzey et al.*2024 · 27 citations*
26. **[On Bringing Robots Home ↗](https://arxiv.org/abs/2311.16098) arXiv (Cornell University) · no summary yet**Nur Muhammad Mahi Shafiullah et al.*2023 · 21 citations*
27. **[Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play ↗](https://arxiv.org/abs/2303.12076) arXiv (Cornell University) · no summary yet**Irmak Guzey et al.*2023 · 14 citations*
28. **[Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments ↗](https://doi.org/10.1109/icra55743.2025.11127857) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Haritheja Etukuru et al.*2025 · 12 citations*
29. **[Scale-invariant learning and convolutional networks ↗](https://doi.org/10.1016/j.acha.2016.06.005) Applied and Computational Harmonic Analysis · no summary yet**Soumith Chintala et al.*2016 · 10 citations*
30. **[An overview of deep learning frameworks and an introduction to PyTorch ↗](https://openalex.org/W2760772973) no summary yet**Soumith Chintala*2017 · 9 citations*
31. **[OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation ↗](https://arxiv.org/abs/2403.07870) arXiv (Cornell University) · no summary yet**Aadhithya Iyer et al.*2024 · 8 citations*
32. **[Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement ↗](https://openalex.org/W2751379610) International Conference on Learning Representations · no summary yet**Nicolas Usunier et al.*2017 · 8 citations*
33. **[Training Language Models Using Target-Propagation ↗](https://arxiv.org/abs/1702.04770) arXiv (Cornell University) · no summary yet**Sam Wiseman et al.*2017 · 8 citations*
34. **[Dynamem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation ↗](https://doi.org/10.1109/icra55743.2025.11127619) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Peiqi Liu et al.*2025 · 7 citations*
35. **[Frame based Intelligent Tutoring System with weighted attributes and adaptive hypermedia ↗](https://doi.org/10.1504/ijeb.2010.035291) International Journal of Electronic Business · no summary yet**Aditya Chopra et al.*2010 · 5 citations*
36. **[ExecuTorch — A Unified PyTorch Solution to Run AI Models On-Device ↗](https://arxiv.org/abs/2605.08195) arXiv (Cornell University) · no summary yet**Mergen Nachin et al.*2026 · 4 citations*
37. **[A theoretical argument for complex-valued convolutional networks ↗](http://dblp.uni-trier.de/db/journals/corr/corr1503.html#BrunaCLPST15) arXiv (Cornell University) · no summary yet**Joan Bruna et al.*2015 · 3 citations*
38. **[Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models ↗](https://doi.org/10.15607/rss.2026.xxii.141) arXiv:2602.09017 · no summary yet**Zichen Jeff Cui et al.*2026 · 1 citation*
39. **[droidlet: modular, heterogenous, multi-modal agents ↗](https://doi.org/10.1109/icra48506.2021.9561446) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Anurag Pratik et al.*2021 · 1 citation*
40. **[YOR: Your Own Mobile Manipulator for Generalizable Robotics ↗](https://arxiv.org/abs/2602.11150) arXiv (Cornell University) · no summary yet**Manan Anjaria et al.*2026*
41. **[Automatic Differentiation and Deep Learning ↗](https://openalex.org/W7054639379) CERN Document Server (European Organization for Nuclear Research) · no summary yet**Soumith Chintala*2018*
42. **[Sentiment Analysis using neural architectures ↗](https://openalex.org/W7097111013) no summary yet**Soumith Chintala*2016*
