| CURTAINs for your sliding window: constructing unobserved regions by transforming adjacent intervals JA Raine, S Klein, D Sengupta, T Golling Frontiers in big Data 6, 899345, 2023 | 28 | 2023 |
| Flow-enhanced transportation for anomaly detection T Golling, S Klein, R Mastandrea, B Nachman Physical Review D 107 (9), 096025, 2023 | 19 | 2023 |
| Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation S Klein, JA Raine, T Golling arXiv preprint arXiv:2211.02487, 2022 | 9 | 2022 |
| Funnels: Exact maximum likelihood with dimensionality reduction S Klein, JA Raine, S Pina-Otey, S Voloshynovskiy, T Golling arXiv preprint arXiv:2112.08069, 2021 | 4 | 2021 |
| Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models L Heinrich, M Kagan, S Klein, M Leigh, T Golling, JA Raine, M Osadchy arXiv preprint arXiv:2401.13537, 2024 | 3 | 2024 |
| Decorrelation with conditional normalizing flows S Klein, T Golling arXiv preprint arXiv:2211.02486, 2022 | 2 | 2022 |
| Flowification: Everything is a normalizing flow B Máté, S Klein, T Golling, F Fleuret Advances in Neural Information Processing Systems 35, 35478-35489, 2022 | 1 | 2022 |
| FETA: Flow-Enhanced Transportation for Anomaly Detection R Mastandrea, B Nachman, S Klein, T Golling APS April Meeting Abstracts 2023, N11. 001, 2023 | | 2023 |
| Exact maximum likelihood with dimensionality reduction S Klein, JA Raine, S Pina-Otey, S Voloshynovskiy, T Golling | | |
