Jules Berman - RankMe

15 papers A* 4Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DICE: Discrete inverse continuity equation for learning population dynamics. CoRR Tobias Blickhan, Jules Berman, Andrew Stuart, Benjamin Peherstorfer
2025	J	`jnl`	Hankel Singular Value Regularization for Highly Compressible State Space Models. CoRR Paul Schwerdtner, Jules Berman, Benjamin Peherstorfer
2024	A*	`conf`	CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations. ICML Jules Berman, Benjamin Peherstorfer
2024	J	`jnl`	CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations. CoRR Jules Berman, Benjamin Peherstorfer
2024	J	`jnl`	Neuronal Temporal Filters as Normal Mode Extractors. CoRR Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
2024	J	`jnl`	Nonlinear Embeddings for Conserving Hamiltonians and Other Quantities with Neural Galerkin Schemes. SIAM J. Sci. Comput. Paul Schwerdtner, Philipp Schulze, Jules Berman, Benjamin Peherstorfer
2024	A*	`conf`	Parametric model reduction of mean-field and stochastic systems via higher-order action matching. NeurIPS Jules Berman, Tobias Blickhan, Benjamin Peherstorfer
2024	J	`jnl`	Parametric model reduction of mean-field and stochastic systems via higher-order action matching. CoRR Jules Berman, Tobias Blickhan, Benjamin Peherstorfer
2023	J	`jnl`	Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes. CoRR Paul Schwerdtner, Philipp Schulze, Jules Berman, Benjamin Peherstorfer
2023	A*	`conf`	Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks. NeurIPS Jules Berman, Benjamin Peherstorfer
2023	J	`jnl`	Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks. CoRR Jules Berman, Benjamin Peherstorfer
2023	A*	`conf`	Representational Dissimilarity Metric Spaces for Stochastic Neural Networks. ICLR Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams
2022	—	`conf`	Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. MIDL Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu
2022	J	`jnl`	Representational dissimilarity metric spaces for stochastic neural networks. CoRR Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams
2021	J	`jnl`	Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. CoRR Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu