Michael Shvartsman

According to our database, Michael Shvartsman authored at least 22 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

AIRA_2: Overcoming Bottlenecks in AI Research Agents.

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

CoRR, March, 2026

APRES: An Agentic Paper Revision and Evaluation System.

Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse, Minqi Jiang, Michael Shvartsman, Abhishek Charnalia, Despoina Magka, Tatiana Shavrina, Derek Dunfield, Oisin Mac Aodha, Yoram Bachrach

CoRR, March, 2026

AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents.

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

CoRR, February, 2026

A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs.

Dayal Singh Kalra, Jean-Christophe Gagnon-Audet, Andrey Gromov, Ishita Mediratta, Kelvin Niu, Alexander H. Miller, Michael Shvartsman

CoRR, January, 2026

2025

What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity.

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

CoRR, November, 2025

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench.

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

CoRR, July, 2025

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements.

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

CoRR, June, 2025

Scaling and Distilling Transformer Models for sEMG.

Nicholas Mehlman, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Kelvin Niu, Alexander H. Miller, Shagun Sodhani

Trans. Mach. Learn. Res., 2025

2024

Response Time Improves Gaussian Process Models for Perception and Preferences.

Michael Shvartsman, Benjamin Letham, Eytan Bakshy, Stephen Keeley

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences.

Michael Shvartsman, Benjamin Letham, Stephen Keeley

CoRR, 2023

A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks.

Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Perceptual Requirements for Eye-Tracked Distortion Correction in VR.

Phillip Guan, Olivier Mercier, Michael Shvartsman, Douglas Lanman

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation.

Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Unifying Few- and Zero-Shot Egocentric Action Recognition.

Tyler R. Scott, Michael Shvartsman, Karl Ridgeway

CoRR, 2020

Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis.

Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu

CoRR, 2020

2019

Asymmetric Switch Costs as a Function of Task Strength.

Markus Spitzer, Sebastian Musslick, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Constraints associated with cognitive control and the stability-flexibility dilemma.

Sebastian Musslick, Seong Jun Jang, Michael Shvartsman, Amitai Shenhav, Jonathan D. Cohen

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Matrix-normal models for fMRI analysis.

Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Adaptive response priors in context-dependent decision-making.

Olga Lositsky, Michael Shvartsman, Robert C. Wilson, Jonathan D. Cohen

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2015

A Theory of Decision Making Under Dynamic Context.

Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory.

Michael Shvartsman, Richard L. Lewis, Satinder Singh

Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics, 2014

2013

The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed-Accuracy Trade-Offs.

Richard L. Lewis, Michael Shvartsman, Satinder Singh

Top. Cogn. Sci., 2013