Thomson, Matt

10 publications

ICLRW 2025 Building Foundation Models to Characterize Cellular Interactions via Geometric Self-Supervised Learning on Spatial Genomics Yuning You, Zitong Jerry Wang, Kevin Fleisher, Rex Liu, Matt Thomson

TMLR 2025 Rational Tuning of LLM Cascades via Probabilistic Modeling Michael J. Zellinger, Matt Thomson

NeurIPSW 2023 Unexplored Regions of the Protein Sequence-Structure mAP Revealed at Scale by a Library of “foldtuned” Language Models Arjuna Subramanian, Matt Thomson

NeurIPSW 2022 Connectedness of Loss Landscapes via the Lens of Morse Theory Danil Akhtiamov, Matt Thomson

NeurIPSW 2022 Generating Counterfactual Explanations of Tumor Spatial Proteomes to Discover Effective, Combinatorial Therapies That Enhance Cancer Immunotherapy Zitong Jerry Wang, Matt Thomson

NeurIPSW 2022 Neural Networks Learn an Environment's Geometry in Latent Space by Performing Predictive Coding on Visual Scenes James Gornet, Matt Thomson

NeurIPSW 2021 Linear Transformations in Autoencoder Latent Space Predict Time Translations in Active Matter System Enrique Amaya, Shahriar Shadkhoo, Dominik Schildknecht, Matt Thomson

NeurIPSW 2021 Traversing Geodesics to Grow Biological Structures Pranav Bhamidipati, Guruprasad Raghavan, Matt Thomson

NeurIPSW 2020 Sparsifying Networks by Traversing Geodesics Guruprasad Raghavan, Matt Thomson

NeurIPS 2019 Neural Networks Grown and Self-Organized by Noise Guruprasad Raghavan, Matt Thomson