Transfer in Inverse Reinforcement Learning for Multiple Strategies

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Transfer in Inverse Reinforcement Learning for Multiple Strategies

Chattez avec Graph Search

Testing Theories of the Glass Transition with the Same Liquid but Many Kinetic Rules

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Incorporating Projective Geometry into Deep Learning

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Unveiling the complexity of learning and decision-making

Social Opinion Formation and Decision Making Under Communication Trends

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Topics in statistical physics of high-dimensional machine learning

Predicting the long-term collective behaviour of fish pairs with deep learning

Towards Trustworthy Deep Learning for Image Reconstruction

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Frustrated magnets in the limit of infinite dimensions: Dynamics and disorder-free glass transition

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

How to support students to develop coaching and peer teaching skills

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing

Residual-based attention in physics-informed neural networks

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation