Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee. - Yassine Nemmour; Heiner Kremer; Bernhard Schölkopf; Jia-Jie Zhu (CDC, 2022)

Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions. - Heiner Kremer; Jia-Jie Zhu; Krikamol Muandet; Bernhard Schölkopf (ICML, 2022)

Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. - Lars Lorch; Heiner Kremer; William Trouleau; Stratis Tsirtsis; Aron Szanto; Bernhard Schölkopf; Manuel Gomez-Rodriguez (ACM Trans. Spatial Algorithms Syst., 2022)

Glare Removal for Astronomical Images with High Local Dynamic Range. - Max-Olivier Van Bastelaer; Heiner Kremer; Valentin Volchkov; Jean-Claude Passy; Bernhard Schölkopf (ICCP, 2023)

Estimation Beyond Data Reweighting: Kernel Method of Moments. - Heiner Kremer; Yassine Nemmour; Bernhard Schölkopf; Jia-Jie Zhu (ICML, 2023)

Geometry-Aware Instrumental Variable Regression. - Heiner Kremer; Bernhard Schölkopf (ICML, 2024)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity. - Mark Schöne; Babak Rahmani; Heiner Kremer; Fabian Falck; Hitesh Ballani; Jannes Gladrow (CoRR, 2025)