activity
20212026
most citedFETA: Flow-Enhanced Transportation for Anomaly Detection

46 citations · 46 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.str-el2026

Posterior Inference of Hamiltonian Parameters from RIXS Spectroscopy

Samuel Klein, Thomas M. Linker, Louis Conreux +14

We present the first application of simulation-based inference to resonant inelastic X-ray scattering spectroscopy. Using truncated marginal neural ratio estimation to efficiently…

cs.LG2026

Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design

Samuel Klein, Willie Neiswanger, Daniel Ratner +2

Bayesian optimal experimental design (BOED) seeks to maximize the expected information gain (EIG) of experiments. This requires a likelihood estimate, which in many settings is int…

cs.CV2023

Multimodal Neurons in Pretrained Text-Only Transformers

Sarah Schwettmann, Neil Chowdhury, Samuel Klein +2

Language models demonstrate remarkable capacity to generalize representations learned in one modality to downstream tasks in other modalities. Can we trace this ability to individu…

hep-ph2022★ 46 cited

FETA: Flow-Enhanced Transportation for Anomaly Detection

Tobias Golling, Samuel Klein, Radha Mastandrea +1

Resonant anomaly detection is a promising framework for model-independent searches for new particles. Weakly supervised resonant anomaly detection methods compare data with a poten…

cs.CV2021

Toward a Visual Concept Vocabulary for GAN Latent Space

Sarah Schwettmann, Evan Hernandez, David Bau +3

A large body of recent work has identified transformations in the latent spaces of generative adversarial networks (GANs) that consistently and interpretably transform generated im…