Paul Jeha

According to our database, Paul Jeha authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings.

Paul Jeha, Anastasiia Sedova, Louis Béthune, Skyler Seto, Jes Frellsen, Pierre Ablin, Natalie Schluter

CoRR, May, 2026

Learning Energy-Based Models by Self-Normalising the Likelihood.

Hugo Henri Joseph Senetaire, Paul Jeha, Jes Frellsen, Pierre-Alexandre Mattei

Trans. Mach. Learn. Res., 2026

2025

CREPE: Controlling Diffusion with Replica Exchange.

Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández-Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas

CoRR, September, 2025

Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo.

Cheuk Kit Lee, Paul Jeha, Jes Frellsen, Pietro Lio, Michael Samuel Albergo, Francisco Vargas

CoRR, February, 2025

2024

Generative Diffusion Models for Sequential Recommendations.

Sharare Zolghadr, Ole Winther, Paul Jeha

CoRR, 2024

Variance reduction of diffusion model's gradients with Taylor approximation-based control variate.

Paul Jeha, Will Grathwohl, Michael Riis Andersen, Carl Henrik Ek, Jes Frellsen

CoRR, 2024

2022

PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series.

Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Shubham Kapoor, Rajbir-Singh Nirwan, Valentin Flunkert, Jan Gasthaus, Tim Januschowski

Proceedings of the Tenth International Conference on Learning Representations, 2022