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Dongsung Huh

5 papers · 2018–2025 · 3 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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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
πŸ“ˆ Trend Setter

Venues

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

Top co-authors

Avinash Baidya (1) Hilde Kuehne (1) Yuekai Sun (1) Oliver Deussen (1) Felix Petersen (1) Terrence J. Sejnowski (1) Christian Borgelt (1) Tobias Sutter (1)

Research topics

Deep Learning (5) Machine Learning (4) Optimization & Theory Β· Machine Learning (3) Artificial Intelligence (2) Architectures (2) Core AI (2) Learning Types (2) Optimization & Theory Β· Deep Learning (2) Mathematics & Optimization (1) Core Methods (1) Optimization (1) Techniques (1)

Keywords

stochastic gradient (1) representation learning (1) supervised learning (1) out-of-distribution generalization (1) natural gradient (1) gradient descent (1) natural gradient descent (1) newton's method (1) invariant feature learning (1) second-order optimization (1) spiking neural network (1) learning dynamics (1) second-order information (1) spurious correlation (1) symmetry discovery (1) generalization performance (1) matrix multiplication (1) recurrent network (1) invariant risk minimization (1) unitary representation (1)

Papers

Discovering Group Structures via Unitary Representation Learning ICLR 2025 ISAAC Newton: Input-based Approximate Curvature for Newton's Method ICLR 2023 The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization NeurIPS 2022 Curvature-corrected learning dynamics in deep neural networks ICML 2020 Gradient Descent for Spiking Neural Networks NeurIPS 2018