Low-Resource Speech Recognition and Understanding for Challenging Applications

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Low-Resource Speech Recognition and Understanding for Challenging Applications

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How data structures affect generalization in Kernel Methods and Deep Learning

Adaptive energy reference for machine-learning models of the electronic density of states

Tango*: constrained synthesis planning using chemically informed value functions

RAFT: Regularized Adversarial Fine-Tuning to Enhance Deep Reinforcement Learning for Self-Parking

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning

Visual question answering on remote sensing images

Revealing the Structure of Land Ownership through the Automatic Vectorisation of Swiss Cadastral Plans

Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice

Multi-agent Learning with Privacy Guarantees

Critical analysis of decision variables for high-throughput experimentation (HTE) with perovskite solar cells

KNNs of Semantic Encodings for Rating Prediction

Automatic pathological speech assessment

Graph Representation Learning with Optimal Transport: Analysis and Applications

Autonomous Detection and Deterrence of Pigeons on Buildings by Drones

Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron

Temporal stability of stimulus representation increases along rodent visual cortical hierarchies

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity

Fast and Robust Distributed Learning in High Dimension