Chris De Sa
7 papers · 2018–2024 · 2 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (2)
π
Academic Marathon
(6)
π
Cross-Pollinator
(13)
π
Trend Setter
Conferences
ICML (6)
NIPS (1)
Top co-authors
Keywords
neural network quantization
(1)
model compression
(1)
dimensionality reduction
(1)
representation learning
(1)
image generation
(1)
variational inference
(1)
bayesian inference
(1)
data augmentation
(1)
distributed learning
(1)
energy efficiency
(1)
markov chain monte carlo
(1)
gibbs sampling
(1)
stochastic convex optimization
(1)
mirror descent
(1)
variance regularization
(1)
graphical model
(1)
diffusion model
(1)
convergence rate
(1)
metric space
(1)
stochastic weight averaging
(1)
Papers
Diffusion Models With Learned Adaptive Noise
NIPS 2024
Distributed Learning with Sublinear Communication
ICML 2019
SWALP : Stochastic Weight Averaging in Low Precision Training
ICML 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
ICML 2019
A Kernel Theory of Modern Data Augmentation
ICML 2019
Representation Tradeoffs for Hyperbolic Embeddings
ICML 2018
Minibatch Gibbs Sampling on Large Graphical Models
ICML 2018