Kawasaki-Borruat V., Vandergheynst P., Data-Driven Transport Geometry for Rare Events in Metastable Systems, AI4Physics Workshop @ ICML 2026
Lobashev A., Guskov D., Kawasaki-Borruat V., Larchenko M., Irregularities of Latent Space Geometry in Diffusion Models, SPGM Workshop @ ICML 2026 (link)
Kawasaki-Borruat V., Grotehans, C., Vandergheynst P., Gosztolai, A., Diffusion Processes on Implicit Manifolds, arXiv preprint
Zosso M.*, Hariri A.*, Kawasaki-Borruat V.*, ,Berlureau P.-G.* Vandergheynst P., Geometry-Induced Diffusion on Graphs: A Learnable Weighted Laplacian for Spectral GNNs, preprint
Lobashev A., Guskov D., Kawasaki-Borruat V., Larchenko M., Caffarelli Regularity and Hierarchical Phase Boundaries in Diffusion Model Latent Space, ML4PS Workshop @ NeurIPS 2025 (link)
* denotes equal contribution.
Talks
Invited speaker at the Computational Intelligence Group Seminar (online), Makarere University, Kampala, 2026
"Sampling beyond the tri-critical point of sparse SK models", at Prof. Yuansi Chen's Random Walks Group, ETH Zurich, 2025