Matt Thomson - RankMe

26 papers A* 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cost-Saving LLM Cascades with Early Abstention. CoRR Michael J. Zellinger, Rex Liu, Matt Thomson
2025	J	`jnl`	Economic Evaluation of LLMs. CoRR Michael J. Zellinger, Matt Thomson
2025	J	`jnl`	Fail Fast, or Ask: Mitigating the Deficiencies of Reasoning LLMs with Human-in-the-Loop Systems Engineering. CoRR Michael J. Zellinger, Matt Thomson
2025	J	`jnl`	Rational Tuning of LLM Cascades via Probabilistic Modeling. CoRR Michael J. Zellinger, Matt Thomson
2025	J	`jnl`	Rational Tuning of LLM Cascades via Probabilistic Modeling. Trans. Mach. Learn. Res. Michael J. Zellinger, Matt Thomson
2024	J	`jnl`	Automated construction of cognitive maps with visual predictive coding. Nat. Mac. Intell. James Gornet, Matt Thomson
2024	J	`jnl`	Efficiently Deploying LLMs with Controlled Risk. CoRR Michael J. Zellinger, Matt Thomson
2024	J	`jnl`	Engineering flexible machine learning systems by traversing functionally invariant paths. Nat. Mac. Intell. Guruprasad Raghavan, Bahey Tharwat, Surya Narayanan Hari, Dhruvil Satani, Rex Liu, Matt Thomson
2024	J	`jnl`	Leveraging Open-Source Large Language Models for encoding Social Determinants of Health using an Intelligent Router. CoRR Akul Goel, Surya Narayanan Hari, Belinda Waltman, Matt Thomson
2024	J	`jnl`	Prompt Baking. CoRR Aman Bhargava, Cameron Witkowski, Alexander Detkov, Matt Thomson
2023	J	`jnl`	Automated mapping of virtual environments with visual predictive coding. CoRR James Gornet, Matt Thomson
2023	J	`jnl`	Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer. CoRR Surya Narayanan Hari, Matt Thomson
2023	J	`jnl`	Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models. CoRR Surya Narayanan Hari, Matt Thomson
2023	J	`jnl`	What's the Magic Word? A Control Theory of LLM Prompting. CoRR Aman Bhargava, Cameron Witkowski, Manav Shah, Matt Thomson
2022	—	`conf`	Connectedness of loss landscapes via the lens of Morse theory. NeurReps Danil Akhtiamov, Matt Thomson
2022	J	`jnl`	Engineering flexible machine learning systems by traversing functionally invariant paths in weight space. CoRR Guruprasad Raghavan, Matt Thomson
2022	J	`jnl`	Generating counterfactual explanations of tumor spatial proteomes to discover effective, combinatorial therapies that enhance cancer immunotherapy. CoRR Zitong Jerry Wang, Matt Thomson
2022	J	`jnl`	Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVM. Nat. Comput. Sci. Xiaoqiao Chen, Sisi Chen, Matt Thomson
2021	J	`jnl`	Active feature selection discovers minimal gene-sets for classifying cell-types and disease states in single-cell mRNA-seq data. CoRR Xiaoqiao Chen, Sisi Chen, Matt Thomson
2021	J	`jnl`	Reinforcement Learning reveals fundamental limits on the mixing of active particles. CoRR Dominik Schildknecht, Anastasia N. Popova, Jack Stellwagen, Matt Thomson
2021	J	`jnl`	Solving hybrid machine learning tasks by traversing weight space geodesics. CoRR Guruprasad Raghavan, Matt Thomson
2020	J	`jnl`	Geometric algorithms for predicting resilience and recovering damage in neural networks. CoRR Guruprasad Raghavan, Jiayi Li, Matt Thomson
2020	J	`jnl`	Self-organization of multi-layer spiking neural networks. CoRR Guruprasad Raghavan, Cong Lin, Matt Thomson
2020	J	`jnl`	Sparsifying networks by traversing Geodesics. CoRR Guruprasad Raghavan, Matt Thomson
2019	A*	`conf`	Neural networks grown and self-organized by noise. NeurIPS Guruprasad Raghavan, Matt Thomson
2019	J	`jnl`	Neural networks grown and self-organized by noise. CoRR Guruprasad Raghavan, Matt Thomson