Pitfalls of Climate Network Construction: A Statistical Perspective. - Moritz Haas; Bedartha Goswami; Ulrike von Luxburg (CoRR, 2022)

Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension. - Moritz Haas; David Holzmüller; Ulrike von Luxburg; Ingo Steinwart (NeurIPS, 2023)

μP2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. - Moritz Haas; Jin Xu; Volkan Cevher; Leena Chennuru Vankadara (NeurIPS, 2024)

On Feature Learning in Structured State Space Models. - Leena Chennuru Vankadara; Jin Xu; Moritz Haas; Volkan Cevher (NeurIPS, 2024)

μ P2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. - Moritz Haas; Jin Xu; Volkan Cevher; Leena Chennuru Vankadara (CoRR, 2024)

On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling. - Moritz Haas; Sebastian Bordt; Ulrike von Luxburg; Leena Chennuru Vankadara (CoRR, 2025)