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The Causality for Climate Challenge
AI-based Wave Prediction in Complex Plasmas
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Prediction of finger movements using ultrasound images
Federated Learning for Spanish Ports as an Aid to Digitization
Surface EMG for Force Control of Mechanical Hands
Machine Learning Based Approach to a Crane Load Estimation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
Applicability of machine learning in uncertainty quantification of turbulence models
Optimizing inventory control through a data-driven and model-independent framework
Applicability of machine learning in uncertainty quantification of turbulence models
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Adaptive human-robot policy blending for shared control teleoperation
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Sampling-based exploration strategies for mobile robot autonomy