1 citations · 1 across the 2 of their papers we have counts for
6 papers
Random Wavelet Features for Graph Kernel Machines
Valentin de Bassompierre, Jean-Charles Delvenne, Laurent Jacques
Node embeddings map graph vertices into low-dimensional Euclidean spaces while preserving structural information. They are central to tasks such as node classification, link predic…
Thermodynamic Geometric Constraint on the Spectrum of Markov Rate Matrices
Guo-Hua Xu, Artemy Kolchinsky, Jean-Charles Delvenne +1
The spectrum of Markov generators encodes physical information beyond simple decay and oscillation, which reflects irreversibility and governs the structure of correlation function…
Analog and Symbolic Computation through the Koopman Framework
Francesco Caravelli, Jean-Charles Delvenne
We develop a Koopman operator framework for studying the {computational properties} of dynamical systems. Specifically, we show that the resolvent of the Koopman operator provides…
Noise-dissipation relation for nonlinear electronic circuits
Léopold Van Brandt, Jean-Charles Delvenne
An extension of fluctuation-dissipation theorem is used to derive a "speed limit" theorem for nonlinear electronic devices. This speed limit provides a lower bound on the dissipati…
Theoretical Barriers in Bellman-Based Reinforcement Learning
Brieuc Pinon, Raphaël Jungers, Jean-Charles Delvenne
Reinforcement Learning algorithms designed for high-dimensional spaces often enforce the Bellman equation on a sampled subset of states, relying on generalization to propagate know…
Predicting State Transitions in Autonomous Nonlinear Bistable Systems with Hidden Stochasticity
Léopold Van Brandt, Jean-Charles Delvenne
Bistable autonomous systems can be found inmany areas of science. When the intrinsic noise intensity is large, these systems exhibits stochastic transitions from onemetastable stea…