Hubin, Aliaksandr

4 publications

ICML 2024 Incorporating Probabilistic Domain Knowledge into Deep Multiple Instance Learning Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri, Milena Pavlovic, Knut Dagestad Rand, Michael Widrich, Anne Schistad Solberg, Victor Greiff, Johan Pensar, Günter Klambauer, Geir Kjetil Sandve

ICML 2024 Position: Bayesian Deep Learning Is Needed 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, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

TMLR 2024 Sparsifying Bayesian Neural Networks with Latent Binary Variables and Normalizing Flows Lars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin

JAIR 2021 Flexible Bayesian Nonlinear Model Configuration Aliaksandr Hubin, Geir Storvik, Florian Frommlet