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ORCIDHugo Senetaire
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- affiliation: Technical University of Denmark, Denmark
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2020 – today
- 2025
[c3]Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Ali Caner Türkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram:
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. AISTATS 2025: 2242-2250- [i4]Hugo Senetaire, Paul Jeha, Pierre-Alexandre Mattei, Jes Frellsen:
Learning Energy-Based Models by Self-normalising the Likelihood. CoRR abs/2503.07021 (2025) - [i3]Sebastian Pineda-Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Yuyang Wang, Syama Sundar Rangapuram:
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. CoRR abs/2503.12107 (2025) - 2023
- [c2]Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei:
Explainability as statistical inference. ICML 2023: 30584-30612 - 2022
- [c1]Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen:
Model-agnostic out-of-distribution detection using combined statistical tests. AISTATS 2022: 10753-10776 - [i2]Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Senetaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen:
Model-agnostic out-of-distribution detection using combined statistical tests. CoRR abs/2203.01097 (2022) - [i1]Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei:
Explainability as statistical inference. CoRR abs/2212.03131 (2022)
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