Samuel Klein

21 papers A* 2Journal 17Unranked 2
YearRankTypeTitle / 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