Communication-efficient Distributed SGD with Sketching. - Nikita Ivkin; Daniel Rothchild; Enayat Ullah; Vladimir Braverman; Ion Stoica; Raman Arora (NeurIPS, 2019)

FetchSGD: Communication-Efficient Federated Learning with Sketching. - Daniel Rothchild; Ashwinee Panda; Enayat Ullah; Nikita Ivkin; Ion Stoica; Vladimir Braverman; Joseph Gonzalez 001; Raman Arora (ICML, 2020)

SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis. - Bohan Zhai; Tianren Gao; Flora Xue; Daniel Rothchild; Bichen Wu; Joseph E. Gonzalez; Kurt Keutzer (CoRR, 2020)

Carbon Emissions and Large Neural Network Training. - David A. Patterson 001; Joseph Gonzalez 001; Quoc V. Le; Chen Liang; Lluis-Miquel Munguia; Daniel Rothchild; David R. So; Maud Texier; Jeff Dean (CoRR, 2021)

C5T5: Controllable Generation of Organic Molecules with Transformers. - Daniel Rothchild; Alex Tamkin; Julie Yu; Ujval Misra; Joseph Gonzalez 001 (CoRR, 2021)

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. - David A. Patterson 001; Joseph Gonzalez 001; Urs Hölzle; Quoc V. Le; Chen Liang; Lluis-Miquel Munguia; Daniel Rothchild; David R. So; Maud Texier; Jeff Dean (Computer, 2022)

Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations. - Daniel Rothchild; Andrew S. Rosen; Eric Taw; Connie Robinson; Joseph E. Gonzalez; Aditi S. Krishnapriyan (CoRR, 2023)

Accelerating Electronic Structure Calculations with Machine Learning - Daniel Rothchild (2023)