Jules Berman

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Dissimilarity Measure

Partial Differential Equations

Top Venues

Publications

Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
Neuronal Temporal Filters as Normal Mode Extractors. CoRR (2024)
Jules Berman, Benjamin Peherstorfer
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations. CoRR (2024)
Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks. ICLR (2023)
Jules Berman, Benjamin Peherstorfer
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks. NeurIPS (2023)
Paul Schwerdtner, Philipp Schulze, Jules Berman, Benjamin Peherstorfer
Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes. CoRR (2023)
Jules Berman, Benjamin Peherstorfer
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks. CoRR (2023)
Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex H. Williams
Representational dissimilarity metric spaces for stochastic neural networks. CoRR (2022)
Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. MIDL (2022)
Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. CoRR (2021)