Tassilo Schwarz
Status
Postgraduate Student
Mathematics of Random Systems Doctoral Training Programme
Research groups
Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Major / recent publications
Up-to-date information on my website tassilo-schwarz.com.
Preprints
T. Schwarz, D. Hartich, and A. Godec, Milestoning Markov-jump dynamics: Stationary properties, thermodynamic consistency, kinetic hysteresis, and fluctuation symmetries, arXiv:2606.17033
C. Kogler, T. Schwarz, and S. Kittle, Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks, arXiv:2602.10949
C. Kogler, T. Schwarz, and S. Kittle, Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks, arXiv:2602.10949
T. Schwarz, C. Dieball, C. Kogler, R. Lambiotte, A. Doucet, A. Godec, and G. Deligiannidis, Permutation-Invariant Spectral Learning via Dyson Diffusion, arXiv:2510.08535.
T. Schwarz, A. B. Kolomeisky, and A. Godec, Consistent time reversal and reliable and accurate inference in the presence of memory, arXiv:2410.11819.
Accepted
C. L. Amado, T. Schwarz, Y. Tian, and R. Lambiotte, Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion, in Proceedings of the Fourth Learning on Graphs Conference (PMLR, 2026, accepted. preprint link)
L. A. Goldberg, M. Roth, and T. Schwarz, Parameterised approximation of the fixation probability of the dominant mutation in the multi-type Moran process, Theoretical Computer Science 1016, 114785 (2024).
Prizes, awards, and scholarships
Rhodes Scholarship
Recent publications
Milestoning Markov-jump dynamics: Stationary properties, thermodynamic consistency, kinetic hysteresis, and fluctuation symmetries
Schwarz, T Hartich, D Godec, A (15 Jun 2026) https://arxiv.org/abs/2606.17033v1 Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks
Kogler, C Schwarz, T Kittle, S (11 Feb 2026) https://arxiv.org/abs/2602.10949v2 Complex-weighted convolutional networks: provable expressiveness via complex diffusion
Amado, C Schwarz, T Tian, Y Lambiotte, R (17 Nov 2025) Permutation-Invariant Spectral Learning via Dyson Diffusion
Schwarz, T Dieball, C Kogler, C Lam, K Lambiotte, R Doucet, A Godec, A Deligiannidis, G (09 Oct 2025) Permutation-invariant spectral learning via Dyson diffusion
Schwarz, T Dieball, C Kogler, C Lam, K Lambiotte, R Doucet, A Godec, A Deligiannidis, G (09 Oct 2025) Teaching
HT 2026: C8.2 Stochastic Analysis and PDEs
MT 2025: B8.1 Probability, Measure and Martingales
HT 2025: C8.2 Stochastic Analysis and PDEs
MT 2024: B8.1 Probability, Measure and Martingales
MT 2023: B4.3 Distribution Theory