Matt Thomson

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Machine Learning Systems

Top Venues

Nat. Comput. Sci.

PLoS Comput. Biol.

Publications

Akul Goel, Surya Narayanan Hari, Belinda Waltman, Matt Thomson
Leveraging Open-Source Large Language Models for encoding Social Determinants of Health using an Intelligent Router. CoRR (2024)
Surya Narayanan Hari, Matt Thomson
Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer. CoRR (2023)
Aman Bhargava, Cameron Witkowski, Manav Shah, Matt Thomson
What's the Magic Word? A Control Theory of LLM Prompting. CoRR (2023)
Surya Narayanan Hari, Matt Thomson
Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models. CoRR (2023)
Zitong Jerry Wang, Matt Thomson
Generating counterfactual explanations of tumor spatial proteomes to discover effective, combinatorial therapies that enhance cancer immunotherapy. CoRR (2022)
Xiaoqiao Chen, Sisi Chen, Matt Thomson
Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVM. Nat. Comput. Sci. 2 (6) (2022)
Danil Akhtiamov, Matt Thomson
Connectedness of loss landscapes via the lens of Morse theory. NeurReps (2022)
Guruprasad Raghavan, Matt Thomson
Engineering flexible machine learning systems by traversing functionally invariant paths in weight space. CoRR (2022)
Guruprasad Raghavan, Matt Thomson
Solving hybrid machine learning tasks by traversing weight space geodesics. CoRR (2021)
Dominik Schildknecht, Anastasia N. Popova, Jack Stellwagen, Matt Thomson
Reinforcement Learning reveals fundamental limits on the mixing of active particles. CoRR (2021)
Xiaoqiao Chen, Sisi Chen, Matt Thomson
Active feature selection discovers minimal gene-sets for classifying cell-types and disease states in single-cell mRNA-seq data. CoRR (2021)
Guruprasad Raghavan, Cong Lin, Matt Thomson
Self-organization of multi-layer spiking neural networks. CoRR (2020)
Guruprasad Raghavan, Jiayi Li, Matt Thomson
Geometric algorithms for predicting resilience and recovering damage in neural networks. CoRR (2020)
Guruprasad Raghavan, Matt Thomson
Sparsifying networks by traversing Geodesics. CoRR (2020)
Guruprasad Raghavan, Matt Thomson
Neural networks grown and self-organized by noise. CoRR (2019)
Guruprasad Raghavan, Matt Thomson
Neural networks grown and self-organized by noise. NeurIPS (2019)
David A. Sivak, Matt Thomson
Environmental Statistics and Optimal Regulation. PLoS Comput. Biol. 10 (9) (2014)