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ORCIDSoumith Chintala
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2020 – today
- 2024
[c19]Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell
, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala:
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) 2024: 929-947- [c18]Irmak Güzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto:
See to Touch: Learning Tactile Dexterity through Visual Incentives. ICRA 2024: 13825-13832 - [i27]Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Güzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto:
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation. CoRR abs/2403.07870 (2024) - [i26]Haritheja Etukuru, Norihito Naka, Zijin Hu, Seungjae Lee, Julian Mehu, Aaron Edsinger, Chris Paxton, Soumith Chintala, Lerrel Pinto, Nur Muhammad (Mahi) Shafiullah:
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments. CoRR abs/2409.05865 (2024) - 2023
- [j4]Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot:
Navigating to objects in the real world. Sci. Robotics 8(79) (2023) - [c17]Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto:
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. CoRL 2023: 3142-3166 - [c16]Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto:
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality. ICRA 2023: 5962-5969 - [c15]Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala:
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. MLSys 2023 - [c14]Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam:
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. Robotics: Science and Systems 2023 - [i25]Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto:
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. CoRR abs/2303.12076 (2023) - [i24]Irmak Güzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto:
See to Touch: Learning Tactile Dexterity through Visual Incentives. CoRR abs/2309.12300 (2023) - [i23]Nur Muhammad (Mahi) Shafiullah, Anant Rai, Haritheja Etukuru, Yiqian Liu, Ishan Misra, Soumith Chintala, Lerrel Pinto:
On Bringing Robots Home. CoRR abs/2311.16098 (2023) - 2022
- [c13]Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Artyom Astafurov, Caroline Chen, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jeff Hwang, Ji Chen, Peter Goldsborough, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair:
Torchaudio: Building Blocks for Audio and Speech Processing. ICASSP 2022: 6982-6986 - [i22]Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam:
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. CoRR abs/2210.05663 (2022) - [i21]Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto:
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality. CoRR abs/2210.06463 (2022) - [i20]Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot:
Navigating to Objects in the Real World. CoRR abs/2212.00922 (2022) - 2021
- [c12]Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam:
droidlet: modular, heterogenous, multi-modal agents. ICRA 2021: 13716-13723 - [i19]Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam:
droidlet: modular, heterogenous, multi-modal agents. CoRR abs/2101.10384 (2021) - [i18]Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Anjali Chourdia, Artyom Astafurov, Caroline Chen, Ching-Feng Yeh, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jay Mahadeokar, Jeff Hwang, Ji Chen, Peter Goldsborough, Prabhat Roy, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair, Yangyang Shi:
TorchAudio: Building Blocks for Audio and Speech Processing. CoRR abs/2110.15018 (2021) - 2020
- [j3]Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala:
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. Proc. VLDB Endow. 13(12): 3005-3018 (2020) - [i17]Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala:
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. CoRR abs/2006.15704 (2020)
2010 – 2019
- 2019
- [c11]Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS 2019: 8024-8035 - [i16]Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala:
Generalized Inner Loop Meta-Learning. CoRR abs/1910.01727 (2019) - [i15]Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR abs/1912.01703 (2019) - 2018
- [c10]Kim M. Hazelwood, Sarah Bird, David M. Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang:
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. HPCA 2018: 620-629 - 2017
- [c9]David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou:
Discovering Causal Signals in Images. CVPR 2017: 58-66 - [c8]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. ICLR (Poster) 2017 - [c7]Martín Arjovsky, Soumith Chintala, Léon Bottou:
Wasserstein Generative Adversarial Networks. ICML 2017: 214-223 - [i14]Martín Arjovsky, Soumith Chintala, Léon Bottou:
Wasserstein GAN. CoRR abs/1701.07875 (2017) - [i13]Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala:
Transformation-Based Models of Video Sequences. CoRR abs/1701.08435 (2017) - [i12]Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache:
Training Language Models Using Target-Propagation. CoRR abs/1702.04770 (2017) - 2016
- [j2]Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam:
A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Comput. 28(5): 815-825 (2016) - [c6]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. BMVC 2016 - [c5]Alec Radford, Luke Metz, Soumith Chintala:
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. ICLR (Poster) 2016 - [i11]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. CoRR abs/1604.02135 (2016) - [i10]David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou:
Discovering Causal Signals in Images. CoRR abs/1605.08179 (2016) - [i9]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. CoRR abs/1609.02993 (2016) - [i8]Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier:
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR abs/1611.00625 (2016) - [i7]Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek:
Semantic Segmentation using Adversarial Networks. CoRR abs/1611.08408 (2016) - 2015
- [c4]Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus:
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. NIPS 2015: 1486-1494 - [c3]Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun:
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. ICLR 2015 - [i6]Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert:
A theoretical argument for complex-valued convolutional networks. CoRR abs/1503.03438 (2015) - [i5]Emily L. Denton, Soumith Chintala, Arthur Szlam, Robert Fergus:
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. CoRR abs/1506.05751 (2015) - [i4]Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba:
Scale-invariant learning and convolutional networks. CoRR abs/1506.08230 (2015) - [i3]Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus:
MazeBase: A Sandbox for Learning from Games. CoRR abs/1511.07401 (2015) - 2013
- [c2]Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun:
Pedestrian Detection with Unsupervised Multi-stage Feature Learning. CVPR 2013: 3626-3633 - 2012
- [c1]Pierre Sermanet, Soumith Chintala, Yann LeCun:
Convolutional neural networks applied to house numbers digit classification. ICPR 2012: 3288-3291 - [i2]Pierre Sermanet, Soumith Chintala, Yann LeCun:
Convolutional Neural Networks Applied to House Numbers Digit Classification. CoRR abs/1204.3968 (2012) - [i1]Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun:
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning. CoRR abs/1212.0142 (2012) - 2010
- [j1]Aditya Chopra, Devang Negandhi, Soumith Chintala, A. Kannammal, N. Ch. Sriman Narayana Iyengar, V. Ramachandran:
Frame based Intelligent Tutoring System with weighted attributes and adaptive hypermedia. Int. J. Electron. Bus. 8(4/5): 342-359 (2010)
Coauthor Index
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