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On the Challenges and Opportunities in Generative AI

Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim GJ Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

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

A primer on Bayesian neural networks: review and debates

Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin

Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072)

Vincent Fortuin, Yingzhen Li, Kevin Murphy, Stephan Mandt, Laura Manduchi

Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo

Szilvia Ujváry, Gergely Flamich, Vincent Fortuin, José Miguel Hernández Lobato

Incorporating Unlabelled Data into Bayesian Neural Networks

Mrinank Sharma, Tom Rainforth, Yee Whye Teh, Vincent Fortuin

Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice

Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, Andreas Krause

Understanding pathologies of deep heteroskedastic regression

Eliot Wong-Toi, Alex Boyd, Vincent Fortuin, Stephan Mandt

Deep classifiers with label noise modeling and distance awareness

Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou