Dax, Maximilian

6 publications

NeurIPS 2025 Reparameterized LLM Training via Orthogonal Equivalence Transformation Zeju Qiu, Simon Buchholz, Tim Z. Xiao, Maximilian Dax, Bernhard Schölkopf, Weiyang Liu

NeurIPS 2023 Flow Matching for Scalable Simulation-Based Inference Jonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen Green, Jakob H Macke, Bernhard Schölkopf

ICMLW 2023 Flow Matching for Scalable Simulation-Based Inference Jonas Bernhard Wildberger, Maximilian Dax, Simon Buchholz, Stephen R Green, Jakob H. Macke, Bernhard Schölkopf

ICLR 2022 Group Equivariant Neural Posterior Estimation Maximilian Dax, Stephen R Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke

AAAI 2021 Explicitly Modeled Attention Maps for Image Classification Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox

NeurIPS 2019 DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-Supervision Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox