Representational dissimilarity metric spaces for stochastic neural networks LR Duong, J Zhou, J Nassar, J Berman, J Olieslagers, AH Williams arXiv preprint arXiv:2211.11665, 2022 | 16 | 2022 |
Randomized sparse neural galerkin schemes for solving evolution equations with deep networks J Berman, B Peherstorfer Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes P Schwerdtner, P Schulze, J Berman, B Peherstorfer SIAM Journal on Scientific Computing 46 (5), C583-C607, 2024 | 4 | 2024 |
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations J Berman, B Peherstorfer arXiv preprint arXiv:2402.14646, 2024 | 4 | 2024 |
Neuronal temporal filters as normal mode extractors S Golkar, J Berman, D Lipshutz, RM Haret, T Gollisch, DB Chklovskii Physical Review Research 6 (1), 013111, 2024 | 2 | 2024 |
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics J Berman, DB Chklovskii, J Wu International Conference on Medical Imaging with Deep Learning, 150-159, 2022 | 2 | 2022 |
Neural Galerkin schemes for sequential-in-time solving of partial differential equations with deep networks J Berman, P Schwerdtner, B Peherstorfer Numerical Analysis Meets Machine Learning, 389-418, 2024 | | 2024 |