conftrace_

Seth Lloyd

3 papers · 2019–2022 · 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 ↓

🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11)

Venues

NeurIPS (2) ICML (1)

Top co-authors

Bobak Kiani (3) Giacomo De Palma (2) Yann LeCun (1) Randall Balestriero (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (3) Optimization & Theory · Machine Learning (3) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Core AI (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

deep neural network (2) gaussian process (1) parameter projection (1) generalization bound (1) recurrent neural network (1) relu activation (1) adversarial perturbation (1) binary classifier (1) adversarial example (1) gradient projection (1) deep network (1) infinite width (1) network width (1) orthogonal matrix (1) random weight (1) unitary matrix (1) deep network training (1) unitary neural network (1) orthogonal convolutional network (1) adversarial robustness (1)

Papers

projUNN: efficient method for training deep networks with unitary matrices NeurIPS 2022 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Random deep neural networks are biased towards simple functions NeurIPS 2019