Stephan Wojtowytsch

6 papers · 2023–2025 · 4 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11)

Venues

ICLR (2) NeurIPS (2) ICML (1) JMLR (1)

Top co-authors

Xuan Zhang (2) Cong Fu (2) Shuiwang Ji (2) Kanan Gupta (2) Jacob Helwig (2) Yaochen Xie (1) Jonathan W. Siegel (1) Ian Pelakh (1) Jiyoung Park (1) Jerry Kurtin (1)

Research topics

Machine Learning (6) Optimization & Theory · Machine Learning (5) Deep Learning (4) Architectures (3) Mathematics & Optimization (2) Core Methods (2) Optimization (2) Artificial Intelligence (1) Interdisciplinary (1) Core AI (1) Mathematics (1) Optimization & Theory · Deep Learning (1) Science (1)

Keywords

nesterov acceleration (2) partial differential equation (2) weight decay regularization (2) temporal dynamics (1) gradient descent (1) curse of dimensionality (1) accelerated gradient (1) implicit bia (1) frequency domain (1) group equivariance (1) skip connection (1) physics simulation (1) relu network (1) noisy gradient (1) fourier neural operator (1) explicit regularization (1) accelerated gradient descent (1) momentum-based optimization (1) minimum norm interpolation (1) rotation equivariance (1)

Papers

Nesterov acceleration in benignly non-convex landscapes ICLR 2025 Nesterov acceleration despite very noisy gradients NeurIPS 2024 Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024 SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations ICLR 2024 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Minimum norm interpolation by perceptra: Explicit regularization and implicit bias NeurIPS 2023