Jeremy Cohen
4 papers · 2019–2025 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
๐
Conference Polyglot ยท Bronze
๐
Academic Marathon ยท Sprint
๐
Interdisciplinary Bridge ยท Bronze
๐ฃ
Hot Topic Early Bird
๐
Trend Setter
Top co-authors
Research topics
Keywords
neural network
(3)
adversarial robustness
(1)
loss landscape
(1)
gradient descent
(1)
gaussian noise
(1)
distribution learning
(1)
randomized smoothing
(1)
hessian eigenvalue
(1)
heavy-tailed distribution
(1)
loss function
(1)
generative adversarial network
(1)
edge of stability
(1)
extreme value theory
(1)
adaptive optimizer
(1)
l2 norm
(1)
optimization dynamics
(1)
non-monotonic loss
(1)
certified robustness
(1)
central flow
(1)
Papers
Understanding Optimization in Deep Learning with Central Flows
ICLR 2025
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
ICLR 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
ICML 2021
Certified Adversarial Robustness via Randomized Smoothing
ICML 2019