paper-conference

Data Sharing between Wind Energy Producers: Economic Incentives and Strategic Behavior

Jan Marco Ruiz de Vargas, Annika Schneider, Pierre Pinson, Christoph Goebel

e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community

Annika Schneider, Lukas Schüttler, Jan Marco Ruiz de Vargas, Michael Eichelbeck, Christoph Goebel

Counterfactual Reasoning with Knowledge Graph Embeddings

Lena Zellinger, Andreas Stephan, Benjamin Roth

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning

Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler

Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models

Emre Onal, Klemens Flöge, Emma Caldwell, Arsen Sheverdin, Vincent Fortuin

Hodge-Aware Contrastive Learning

Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi

How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?

Agustinus Kristiadi, Felix Strieth-Kalthoff, Sriram Ganapathi Subramanian, Vincent Fortuin, Pascal Poupart, Geoff Pleiss

Improving Neural Additive Models with Bayesian Principles

Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin

Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood

Rayen Dhahri, Alexander Immer, Betrand Charpentier, Stephan Günnemann, Vincent Fortuin