Angelis, E. ; Quinzan, F.* ; Soleymani, A.* ; Jail, P.J.* ; Bauer, S.
Double machine learning based structure identification from temporal data.
Trans. Machine Learn. Res. 2025, accepted (2025)
Manduchi, L.* ; Meister, C.* ; Pandey, K.C.* ; Bamler, R.* ; Cotterell, R.* ; Däubener, S.* ; Fellenz, S.* ; Fischer, A.* ; Gärtner, T.* ; Kirchler, M.* ; Kloft, M.* ; Li, Y.* ; Lippert, C.* ; de Melo, G.* ; Nalisnick, E.* ; Ommer, B.* ; Ranganath, R.* ; Waldron, M.* ; Ullrich, K.* ; Van den Broeck, G.* ; Vogt, J.E.* ; Wang, Y.* ; Wenzel, F.* ; Wood, F.* ; Mandt, S.* ; Fortuin, V.
On the challenges and opportunities in generative AI.
Trans. Machine Learn. Res. 2025, accepted (2025)
Mueller, T.T.* ; Starck, S.* ; Bintsi, K.M.* ; Ziller, A.* ; Braren, R.* ; Kaissis, G. ; Rueckert, D.*
Are Population Graphs Really as Powerful as Believed?
Trans. Machine Learn. Res. 2024, accepted (2024)
Nasirigerdeh, R.* ; Torkzadehmahani, R.* ; Rueckert, D.* ; Kaissis, G.
Kernel normalized convolutional networks.
Trans. Machine Learn. Res. 2024, 107-118 (2024)
Quinzan, F.* ; Casolo, C. ; Muandet, K.* ; Luo, Y.* ; Kilbertus, N.
Learning counterfactually invariant predictors.
Trans. Machine Learn. Res. 2024, accepted (2024)
Sharma, M.* ; Rainforth, T.* ; Teh, Y.W.* ; Fortuin, V.
Incorporating unlabelled data into bayesian neural networks.
Trans. Machine Learn. Res. 2024, accepted (2024)
von Rohrscheidt, J.C. ; Rieck, B. ; Schmon, S.M.*
Bayesian computation meets topology.
Trans. Machine Learn. Res. 2024, accepted (2024)