Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architecturesby Michael Unser, Alexis Goujon, Stanislas DucotterdFirst submitted…
Semantic Variational Bayes Based on a Semantic Information Theory for Solving Latent Variablesby Chenguang LuFirst…
Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Biasby Yifan Chen, Xiaoou Cheng, Jonathan…
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approachby Johan Peralez, Aurèlien Delage, Jacopo Castellini,…
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Predictionby Ivan Karpukhin, Andrey SavchenkoFirst submitted to…
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisationby Ben…
Reproduction of scan B-statistic for kernel change-point detection algorithmby Zihan WangFirst submitted to arxiv on:…
Causal machine learning for sustainable agroecosystemsby Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà Bautista,…
Interpretable breast cancer classification using CNNs on mammographic imagesby Ann-Kristin Balve, Peter HendrixFirst submitted to…
A density ratio framework for evaluating the utility of synthetic databy Thom Benjamin Volker, Peter-Paul…