Carl Remlinger

According to our database, Carl Remlinger authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

Transfer Learning for Thermal Building Modeling.

Anuram Varathan, Carl Remlinger, Mina Montazeri, Philipp Heer

Proceedings of the IEEE Conference on Control Technology and Applications, 2025

2023

Renku: a platform for sustainable data science.

Rok Roskar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza J. Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Conditional Loss and Deep Euler Scheme for Time Series Generation.

Carl Remlinger, Joseph Mikael, Romuald Elie

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Expert Aggregation for Financial Forecasting.

Marie Brière, Clémence Alasseur, Joseph Mikael, Carl Remlinger

CoRR, 2021

Conditional Versus Adversarial Euler-based Generators For Time Series.

Carl Remlinger, Joseph Mikael, Romuald Elie

CoRR, 2021

2020

Reinforcement Learning in Economics and Finance.

Arthur Charpentier, Romuald Elie, Carl Remlinger

CoRR, 2020