Alexandros Kalousis

Full Professor@University of Applied Sciences Western Switzerland·瑞士·OpenReview

研究方向

machine learning for science · modelling of dynamical systems · simulation based inference · grey box models · generative models; variational autoencoders; diffusion models · imitation learning · reinforcement learning

4.7

Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation

ICLR 2026Rejected

二作

4.0

Training-Free Stein Diffusion Guidance: Posterior Correction for Sampling Beyond High-Density Regions

合作者 (9)

Giangiacomo Mercatali

Alexandros Kalousis

Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation

Training-Free Stein Diffusion Guidance: Posterior Correction for Sampling Beyond High-Density Regions

Rectifying Adaptive Learning Rate Variance via Confidence Estimation

Noise-Guided Transport for Imitation Learning

HIERARCHICAL EQUIVARIANT GRAPH GENERATION