Samuel Klein - RankMe

21 papers A* 2Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Representation Learning for Cerebrovascular Autoregulation: A Model Study With Experimental Data Classification. IEEE Trans. Biomed. Eng. Bavo Kempen, Samuel Klein, Veerle De Sloovere, Bart Depreitere, Maarten De Vos
2026	J	`jnl`	Strong CWoLa : binary classification without background simulation. Mach. Learn. Sci. Technol. Samuel Klein, Matthew Leigh, Stephen Mulligan, Tobias Golling
2026	J	`jnl`	Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design. CoRR Samuel Klein, Willie Neiswanger, Daniel Ratner, Michael Kagan, Sean Gasiorowski
2025	J	`jnl`	Is tokenization needed for masked particle modeling? Mach. Learn. Sci. Technol. Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2024	J	`jnl`	CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals. Frontiers Big Data John Andrew Raine, Samuel Klein, Debajyoti Sengupta, Tobias Golling
2024	J	`jnl`	Enhancing generalization in high energy physics using white-box adversarial attacks. CoRR Franck Rothen, Samuel Klein, Matthew Leigh, Tobias Golling
2024	J	`jnl`	Is Tokenization Needed for Masked Particle Modelling? CoRR Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2024	J	`jnl`	Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2024	J	`jnl`	Masked particle modeling on sets: towards self-supervised high energy physics foundation models. Mach. Learn. Sci. Technol. Tobias Golling, Lukas Heinrich, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2023	J	`jnl`	CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation. CoRR Debajyoti Sengupta, Samuel Klein, John Andrew Raine, Tobias Golling
2023	J	`jnl`	Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation. CoRR Tobias Golling, Samuel Klein, Radha Mastandrea, Benjamin Nachman, John Andrew Raine
2023	J	`jnl`	Improving new physics searches with diffusion models for event observables and jet constituents. CoRR Debajyoti Sengupta, Matthew Leigh, John Andrew Raine, Samuel Klein, Tobias Golling
2023	—	`conf`	Multimodal Neurons in Pretrained Text-Only Transformers. ICCV (Workshops) Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba
2022	J	`jnl`	Decorrelation with conditional normalizing flows. CoRR Samuel Klein, Tobias Golling
2022	J	`jnl`	Flowification: Everything is a Normalizing Flow. CoRR Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
2022	A*	`conf`	Flowification: Everything is a normalizing flow. NeurIPS Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
2022	J	`jnl`	Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation. CoRR Samuel Klein, John Andrew Raine, Tobias Golling
2021	J	`jnl`	Funnels: Exact maximum likelihood with dimensionality reduction. CoRR Samuel Klein, John A. Raine, Sebastian Pina-Otey, Slava Voloshynovskiy, Tobias Golling
2021	A*	`conf`	Toward a Visual Concept Vocabulary for GAN Latent Space. ICCV Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba
2021	J	`jnl`	Toward a Visual Concept Vocabulary for GAN Latent Space. CoRR Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba
2017	—	`conf`	Cybersecurity Policies and Their Impact on Dynamic Data Driven Application Systems. FAS*W@SASO/ICCAC Conrad S. Tucker, Mathew Burrows, Kevin Lesniak, Samuel Klein