Dongsung Huh

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 8

Top Topics

Uniform Convergence

Risk Minimization

Spiking Neural Networks

Invariance Properties

Top Venues

Publications

Dongsung Huh
Discovering Symmetry Group Structures via Implicit Orthogonality Bias. CoRR (2024)
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR (2023)
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR (2023)
Dongsung Huh, Avinash Baidya
The Missing Invariance Principle found - the Reciprocal Twin of Invariant Risk Minimization. NeurIPS (2022)
Dongsung Huh, Avinash Baidya
The Missing Invariance Principle Found - the Reciprocal Twin of Invariant Risk Minimization. CoRR (2022)
Dongsung Huh
Curvature-corrected learning dynamics in deep neural networks. ICML (2020)
Dongsung Huh, Terrence J. Sejnowski
Gradient Descent for Spiking Neural Networks. NeurIPS (2018)
Dongsung Huh, Terrence J. Sejnowski
Gradient Descent for Spiking Neural Networks. CoRR (2017)
Dongsung Huh
The Vector Space of Convex Curves: How to Mix Shapes. CoRR (2015)
Dongsung Huh, Emanuel Todorov
Real-time motor control using recurrent neural networks. ADPRL (2009)