17 citations · 22 across the 4 of their papers we have counts for
4 papers
Hierarchical Discrete Flow Matching for Graph Generation
Yoann Boget, Pablo Strasser, Alexandros Kalousis
Denoising-based models, including diffusion and flow matching, have led to substantial advances in graph generation. Despite this progress, such models remain constrained by two fu…
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Lionel Blondé, Pablo Strasser, Alexandros Kalousis
Despite the recent success of reinforcement learning in various domains, these approaches remain, for the most part, deterringly sensitive to hyper-parameters and are often riddled…
Learning by stochastic serializations
Pablo Strasser, Stephane Armand, Stephane Marchand-Maillet +1
Complex structures are typical in machine learning. Tailoring learning algorithms for every structure requires an effort that may be saved by defining a generic learning procedure…
Regularising Non-linear Models Using Feature Side-information
Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
Very often features come with their own vectorial descriptions which provide detailed information about their properties. We refer to these vectorial descriptions as feature side-i…