Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. - David Eigen; Christian Puhrsch; Rob Fergus (NIPS, 2014)

Learning Invariants using Decision Trees. - Siddharth Krishna 001; Christian Puhrsch; Thomas Wies (CoRR, 2015)

Very deep multilingual convolutional neural networks for LVCSR. - Tom Sercu; Christian Puhrsch; Brian Kingsbury; Yann LeCun (ICASSP, 2016)

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System. - Ronan Collobert; Christian Puhrsch; Gabriel Synnaeve (CoRR, 2016)

Advances in Pre-Training Distributed Word Representations. - Tomás Mikolov; Edouard Grave; Piotr Bojanowski; Christian Puhrsch; Armand Joulin (LREC, 2018)

TorchAudio: Building Blocks for Audio and Speech Processing. - 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; et al. (CoRR, 2021)

Torchaudio: Building Blocks for Audio and Speech Processing. - 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; et al. (ICASSP, 2022)

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. - Jason Ansel; Edward Z. Yang; Horace He; Natalia Gimelshein; Animesh Jain; Michael Voznesensky; Bin Bao; Peter Bell 008; David Berard; Evgeni Burovski; Geeta Chauhan; Anjali Chourdia; et al. (ASPLOS (2), 2024)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

NeurIPS 2023 LLM Efficiency Fine-tuning Competition. - Mark Saroufim; Yotam Perlitz; Leshem Choshen; Luca Antiga; Greg Bowyer; Christian Puhrsch; Driss Guessous; Supriya Rao; Geeta Chauhan; Ashvini Kumar; Jindal Pawan Kumar; Rajpoot Ankur Parikh; et al. (CoRR, 2025)

Scalable and Performant Data Loading. - Moto Hira; Christian Puhrsch; Valentin Andrei; Roman Malinovskyy; Gaël Le Lan; Abhinandan Krishnan; Joseph Cummings; Miguel Martin; Gokul Gunasekaran; Yuta Inoue; Alex J. Turner; Raghuraman Krishnamoorthi (CoRR, 2025)

TorchAO: PyTorch-Native Training-to-Serving Model Optimization. - Andrew Or; Apurva Jain; Daniel Vega-Myhre; Jesse Cai; Charles David Hernandez; Zhenrui Zheng; Driss Guessous; Vasiliy Kuznetsov; Christian Puhrsch; Mark Saroufim; Supriya Rao; Thien Tran; et al. (CoRR, 2025)