Daniel Rothchild

According to our database, Daniel Rothchild authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Accelerating Electronic Structure Calculations with Machine Learning

Daniel Rothchild

PhD thesis, 2023

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

2022

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.

David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean

Computer, 2022

2021

C5T5: Controllable Generation of Organic Molecules with Transformers.

Daniel Rothchild, Alex Tamkin, Julie Yu, Ujval Misra, Joseph Gonzalez

CoRR, 2021

Carbon Emissions and Large Neural Network Training.

David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean

CoRR, 2021

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

FetchSGD: Communication-Efficient Federated Learning with Sketching.

Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Communication-efficient Distributed SGD with Sketching.

Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019