Samuel Klein

According to our database, Samuel Klein authored at least 18 papers between 2017 and 2026.

Collaborative distances:

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

2026

Representation Learning for Cerebrovascular Autoregulation: A Model Study With Experimental Data Classification.

Bavo Kempen, Samuel Klein, Veerle De Sloovere, Bart Depreitere, Maarten De Vos

IEEE Trans. Biomed. Eng., March, 2026

Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design.

Samuel Klein, Willie Neiswanger, Daniel Ratner, Michael Kagan, Sean Gasiorowski

CoRR, February, 2026

Strong CWoLa : binary classification without background simulation.

Samuel Klein, Matthew Leigh, Stephen Mulligan, Tobias Golling

Mach. Learn. Sci. Technol., 2026

2025

Is tokenization needed for masked particle modeling?

Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy

Mach. Learn. Sci. Technol., 2025

2024

Masked particle modeling on sets: towards self-supervised high energy physics foundation models.

Tobias Golling, Lukas Heinrich, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine

Mach. Learn. Sci. Technol., 2024

CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals.

John Andrew Raine, Samuel Klein, Debajyoti Sengupta, Tobias Golling

Frontiers Big Data, 2024

Enhancing generalization in high energy physics using white-box adversarial attacks.

Franck Rothen, Samuel Klein, Matthew Leigh, Tobias Golling

CoRR, 2024

Is Tokenization Needed for Masked Particle Modelling?

Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy

CoRR, 2024

2023

Improving new physics searches with diffusion models for event observables and jet constituents.

Debajyoti Sengupta, Matthew Leigh, John Andrew Raine, Samuel Klein, Tobias Golling

CoRR, 2023

Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation.

Tobias Golling, Samuel Klein, Radha Mastandrea, Benjamin Nachman, John Andrew Raine

CoRR, 2023

CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation.

Debajyoti Sengupta, Samuel Klein, John Andrew Raine, Tobias Golling

CoRR, 2023

Multimodal Neurons in Pretrained Text-Only Transformers.

Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation.

Samuel Klein, John Andrew Raine, Tobias Golling

CoRR, 2022

Decorrelation with conditional normalizing flows.

Samuel Klein, Tobias Golling

CoRR, 2022

Flowification: Everything is a normalizing flow.

Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Funnels: Exact maximum likelihood with dimensionality reduction.

Samuel Klein, John A. Raine, Sebastian Pina-Otey, Slava Voloshynovskiy, Tobias Golling

CoRR, 2021

Toward a Visual Concept Vocabulary for GAN Latent Space.

Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2017

Cybersecurity Policies and Their Impact on Dynamic Data Driven Application Systems.

Conrad S. Tucker, Mathew Burrows, Kevin Lesniak, Samuel Klein

Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017