Dongsung Huh

13 papers A* 5Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Theoretical Framework for Discovering Groups and Unitary Representations via Tensor Factorization. CoRR Dongsung Huh, Halyun Jeong
2025	A*	`conf`	Discovering Group Structures via Unitary Representation Learning. ICLR Dongsung Huh
2025	J	`jnl`	Surrogate-based quantification of policy uncertainty in generative flow networks. CoRR Ramón Dineth Nartallo-Kaluarachchi, Robert Manson-Sawko, Shashanka Ubaru, Dongsung Huh, Malgorzata J. Zimon, Lior Horesh, Yoshua Bengio
2024	J	`jnl`	Discovering Symmetry Group Structures via Implicit Orthogonality Bias. CoRR Dongsung Huh
2023	A*	`conf`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023	J	`jnl`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2022	J	`jnl`	The Missing Invariance Principle Found - the Reciprocal Twin of Invariant Risk Minimization. CoRR Dongsung Huh, Avinash Baidya
2022	A*	`conf`	The Missing Invariance Principle found - the Reciprocal Twin of Invariant Risk Minimization. NeurIPS Dongsung Huh, Avinash Baidya
2020	A*	`conf`	Curvature-corrected learning dynamics in deep neural networks. ICML Dongsung Huh
2018	A*	`conf`	Gradient Descent for Spiking Neural Networks. NeurIPS Dongsung Huh, Terrence J. Sejnowski
2017	J	`jnl`	Gradient Descent for Spiking Neural Networks. CoRR Dongsung Huh, Terrence J. Sejnowski
2015	J	`jnl`	The Vector Space of Convex Curves: How to Mix Shapes. CoRR Dongsung Huh
2009	—	`conf`	Real-time motor control using recurrent neural networks. ADPRL Dongsung Huh, Emanuel Todorov