Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering. 2026.
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection. 2026.
Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, MAM! 2025.
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization. 2025.
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias. 2024.
Robust implicit regularization via weight normalization. 2024.
Neural (Tangent Kernel) Collapse. 2023.
Gradient descent for deep matrix factorization: dynamics and implicit bias towards low rank. 2023.
More is less: inducing sparsity via overparameterization 2023.
How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow. 2023.
Weighted optimization: better generalization by smoother interpolation. 2022.
Non-negative least squares via overparametrization. 2022.
Accuracy, efficiency and optimization of signal fragmentation. 2020.
Optimal correlation estimators for quantized signals. 2013.
Research Positions
Assistant Professor (2024 - Present): University of Pittsburgh, Department of Mathematics
Postdoctoral Researcher (2023 - 2024): Technical University of Munich.
Substitute Professor (2022 - 2023):Â Ludwig Maximilian University of Munich.
Postdoctoral Researcher (2019 - 2022): RWTH Aachen University.
Adjunct Instructor (2018 - 2019): New York University.