Chris De Sa

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Diffusion Models

Distributed Learning

Top Venues

Publications

Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov
Diffusion Models With Learned Adaptive Noise. CoRR (2023)
Satyen Kale, Jason D. Lee, Chris De Sa, Ayush Sekhari, Karthik Sridharan
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent. CoRR (2022)
Jessica Zosa Forde, A. Feder Cooper, Kweku Kwegyir-Aggrey, Chris De Sa, Michael L. Littman
Model Selection's Disparate Impact in Real-World Deep Learning Applications. CoRR (2021)
Jerry Chee, Megan Renz, Anil Damle, Chris De Sa
Pruning Neural Networks with Interpolative Decompositions. CoRR (2021)
Jayadev Acharya, Chris De Sa, Dylan J. Foster, Karthik Sridharan
Distributed Learning with Sublinear Communication. ICML (2019)
Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, Christopher Ré
A Kernel Theory of Modern Data Augmentation. ICML (2019)