Jules Berman

5 papers · 2022–2024 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

NeurIPS (2) ICLR (1) ICML (1) MIDL (1)

Top co-authors

Benjamin Peherstorfer (3) Jeroen Olieslagers (1) Josue Nassar (1) Dmitri B. Chklovskii (1) Lyndon Duong (1) Tobias Blickhan (1) Jingyang Zhou (1) Jingpeng Wu (1) Alex H Williams (1)

Research topics

Machine Learning (5) Deep Learning (4) Optimization & Theory (4) Application Areas (2) Architectures (2) Core Methods (2) Computer Vision (1) Mathematics & Optimization (1) Analysis (1) Learning Types (1) Models (1) Optimization (1) Probability (1)

Keywords

partial differential equation (2) sparse learning (1) optimal transport (1) 3d vision (1) stochastic process (1) neural representation (1) model reduction (1) mean-field system (1) stochastic system (1) action matching (1) metric space (1) stochastic neural network (1) point cloud classification (1) representational similarity (1) variational method (1) gradient field (1) neural network (1) neuron segmentation (1) neural merging (1) shape metric (1)

Papers

CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations ICML 2024 Parametric model reduction of mean-field and stochastic systems via higher-order action matching NeurIPS 2024 Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks NeurIPS 2023 Representational Dissimilarity Metric Spaces for Stochastic Neural Networks ICLR 2023 Bridging the Gap: Point Clouds for Merging Neurons in Connectomics MIDL 2022