Jeremy Cohen

4 papers · 2019–2025 · 2 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (2) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 📈 Trend Setter

Conferences

ICLR (2) ICML (2)

Top co-authors

Ameet Talwalkar (2) J Zico Kolter (2) Simran Kaur (1) Vyas Sekar (1) Yuanzhi Li (1) Alex Damian (1) Zinan Lin (1) Cho-Yu Jason Chiang (1) Zico Kolter (1) Elan Rosenfeld (1)

Research topics

Probability (1)

Keywords

certified robustness (1) adversarial robustness (1) gaussian noise (1) distribution learning (1) randomized smoothing (1) heavy-tailed distribution (1) loss function (1) generative adversarial network (1) extreme value theory (1) neural network (1) l2 norm (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