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Diffusion-free Score Matching for Exact Conditional Sampling
Thomas Wedenig, Robert Peharz
The success of modern score-based generative models is largely driven by diffusion-based training, which learns a collection of time-indexed score fields corresponding to progressi…
RaMMOBO: Random Max-Margin Multi-Objective Bayesian Optimization
Thomas Wedenig, Paul Plantosar, Robert Peharz
Multi-objective Bayesian optimization (MOBO) maximizes expensive black-box objectives with the goal of approximating the Pareto set, whose objective vectors cannot be improved…
Acquisition Function-Guided Generation for Bayesian Optimization over Discrete Spaces
Tommaso Ancilli, Thomas Wedenig, Henry Moss +1
Bayesian optimization (BO) over discrete spaces is challenging due to missing gradients and the sparsity of valid solutions. Latent-space BO sidesteps both issues by fitting a surr…
Exact Soft Analytical Side-Channel Attacks using Tractable Circuits
Thomas Wedenig, Rishub Nagpal, Gaëtan Cassiers +2
Detecting weaknesses in cryptographic algorithms is of utmost importance for designing secure information systems. The state-of-the-art soft analytical side-channel attack (SASCA)…