Gated Domain Units for Multi-source Domain Generalization. - Simon Föll; Alina Dubatovka; Eugen Ernst; Martin Maritsch; Patrik Okanovic; Gudrun Thäter; Joachim M. Buhmann; Felix Wortmann; Krikamol Muandet (CoRR, 2022)

Gated Domain Units for Multi-source Domain Generalization. - Simon Föll; Alina Dubatovka; Eugen Ernst; Siu Lun Chau; Martin Maritsch; Patrik Okanovic; Gudrun Thäter; Joachim M. Buhmann; Felix Wortmann; Krikamol Muandet (Trans. Mach. Learn. Res., 2023)

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. - Patrik Okanovic; Roger Waleffe; Vasilis Mageirakos; Konstantinos E. Nikolakakis; Amin Karbasi; Dionysios S. Kalogerias; Nezihe Merve Gürel; Theodoros Rekatsinas (ICLR, 2024)

High Performance Unstructured SpMM Computation Using Tensor Cores. - Patrik Okanovic; Grzegorz Kwasniewski; Paolo Sylos Labini; Maciej Besta; Flavio Vella; Torsten Hoefler (SC, 2024)

All models are wrong, some are useful: Model Selection with Limited Labels. - Patrik Okanovic; Andreas Kirsch 004; Jannes Kasper; Torsten Hoefler; Andreas Krause 001; Nezihe Merve Gürel (AISTATS, 2025)

BLaST: High Performance Inference and Pretraining using BLock Sparse Transformers. - Patrik Okanovic; Sameer Deshmukh; Grzegorz Kwasniewski; Kentaro Katayama; Takumi Honda; Maciej Besta; Torsten Hoefler (CoRR, 2025)