Michael Shvartsman

24 papers A* 1A 3B 3Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs. CoRR Dayal Singh Kalra, Jean-Christophe Gagnon-Audet, Andrey Gromov, Ishita Mediratta, Kelvin Niu, Alexander H. Miller, Michael Shvartsman
2026	J	`jnl`	AIRA_2: Overcoming Bottlenecks in AI Research Agents. CoRR Karen Hambardzumyan, Nicolas Mario Baldwin, Edan Toledo, Rishi Hazra, Michael Kuchnik, Bassel Al Omari, Thomas Foster, Anton Protopopov, Jean-Christophe Gagnon-Audet, Ishita Mediratta, Kelvin Niu, Michael Shvartsman, Alisia Maria Lupidi, Alexis Audran-Reiss, Parth Pathak, Tatiana Shavrina, Despoina Magka, Hela Momand, Derek Dunfield, Nicola Cancedda, Pontus Stenetorp, Carole-Jean Wu, Jakob Nicolaus Foerster, Yoram Bachrach, Martin Josifoski
2026	J	`jnl`	AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents. CoRR Alisia Maria Lupidi, Bhavul Gauri, Thomas Foster, Bassel Al Omari, Despoina Magka, Alberto Pepe, Alexis Audran-Reiss, Muna Aghamelu, Nicolas Mario Baldwin, Lucia Cipolina-Kun, Jean-Christophe Gagnon-Audet, Chee Hau Leow, Sandra Lefdal, Hossam Mossalam, Abhinav Moudgil, Saba Nazir, Emanuel Tewolde, Isabel Urrego, Jordi Armengol-Estapé, Amar Budhiraja, Gaurav Chaurasia, Abhishek Charnalia, Derek Dunfield, Karen Hambardzumyan, Daniel Izcovich, Martin Josifoski, Ishita Mediratta, Kelvin Niu, Parth Pathak, Michael Shvartsman, Edan Toledo, Anton Protopopov, Roberta Raileanu, Alexander H. Miller, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach
2026	J	`jnl`	APRES: An Agentic Paper Revision and Evaluation System. CoRR Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse, Minqi Jiang, Michael Shvartsman, Abhishek Charnalia, Despoina Magka, Tatiana Shavrina, Derek Dunfield, Oisin Mac Aodha, Yoram Bachrach
2025	J	`jnl`	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. CoRR Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Mario Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Kelvin Niu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander H. Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, Yoram Bachrach
2025	J	`jnl`	Scaling and Distilling Transformer Models for sEMG. CoRR Nicholas Mehlman, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Kelvin Niu, Alexander H. Miller, Shagun Sodhani
2025	J	`jnl`	Scaling and Distilling Transformer Models for sEMG. Trans. Mach. Learn. Res. Nicholas Mehlman, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Kelvin Niu, Alexander H. Miller, Shagun Sodhani
2025	J	`jnl`	The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. CoRR Bingchen Zhao, Despoina Magka, Minqi Jiang, Xian Li, Roberta Raileanu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Kelvin Niu, Shagun Sodhani, Michael Shvartsman, Andrei Lupu, Alisia Maria Lupidi, Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Thomas Foster, Lucia Cipolina-Kun, Abhishek Charnalia, Derek Dunfield, Alexander H. Miller, Oisin Mac Aodha, Jakob N. Foerster, Yoram Bachrach
2025	J	`jnl`	What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity. CoRR Alexis Audran-Reiss, Jordi Armengol-Estapé, Karen Hambardzumyan, Amar Budhiraja, Martin Josifoski, Edan Toledo, Rishi Hazra, Despoina Magka, Michael Shvartsman, Parth Pathak, Justine T. Kao, Lucia Cipolina-Kun, Bhavul Gauri, Jean-Christophe Gagnon-Audet, Emanuel Tewolde, Jenny Zhang, Taco Cohen, Yossi Adi, Tatiana Shavrina, Yoram Bachrach
2024	A	`conf`	Response Time Improves Gaussian Process Models for Perception and Preferences. UAI Michael Shvartsman, Benjamin Letham, Eytan Bakshy, Stephen Keeley
2023	A*	`conf`	A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks. AAAI Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman
2023	J	`jnl`	Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences. CoRR Michael Shvartsman, Benjamin Letham, Stephen Keeley
2022	A	`conf`	Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation. AISTATS Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman
2022	J	`jnl`	Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation. CoRR Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman
2022	—	`conf`	Perceptual Requirements for Eye-Tracked Distortion Correction in VR. SIGGRAPH (Conference Paper Track) Phillip Guan, Olivier Mercier, Michael Shvartsman, Douglas Lanman
2020	J	`jnl`	Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. CoRR Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu
2020	J	`jnl`	Unifying Few- and Zero-Shot Egocentric Action Recognition. CoRR Tyler R. Scott, Michael Shvartsman, Karl Ridgeway
2019	B	`conf`	Asymmetric Switch Costs as a Function of Task Strength. CogSci Markus Spitzer, Sebastian Musslick, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen
2018	B	`conf`	Constraints associated with cognitive control and the stability-flexibility dilemma. CogSci Sebastian Musslick, Seong Jun Jang, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen
2018	A	`conf`	Matrix-normal models for fMRI analysis. AISTATS Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen
2017	B	`conf`	Adaptive response priors in context-dependent decision-making. CogSci Olga Lositsky, Michael Shvartsman, Robert C. Wilson, Jonathan D. Cohen
2015	—	`conf`	A Theory of Decision Making Under Dynamic Context. NIPS Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen
2014	—	`conf`	Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory. CMCL@ACL Michael Shvartsman, Richard L. Lewis, Satinder Singh
2013	J	`jnl`	The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed-Accuracy Trade-Offs. Top. Cogn. Sci. Richard L. Lewis, Michael Shvartsman, Satinder Singh