Neural Correlates of Sequential Decision Making

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Neural Correlates of Sequential Decision Making

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Sequential Reasoning with Socially Caused Beliefs

Scalable Multi-agent Reinforcement Learning for Residential Load Scheduling Under Data Governance

Overcoming Distribution Shifts and Imbalance Challenges in Representation Learning for Deep Regression Models

Learning to Reason with Neural Networks: Principles and Methods

A learning-based approach to stochastic optimal control under reach-avoid constraint

A comparative analysis of gene expression profiling by statistical and machine learning approaches

Computational design of complex protein folds and soluble analogs of membrane proteins

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

Exploiting Representation Similarities in Self-Supervised Learning for Vision Tasks

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Intact reinforcement learning in healthy ageing

Harnessing Increased Client Participation with Cohort-Parallel Federated Learning

An immersive virtual reality tool for assessing left and right unilateral spatial neglect

Robust NAS under adversarial training: benchmark, theory, and beyond

Person Re-Identification and its Application to Multi-Object Tracking

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Safe Deep Neural Networks

Topics in statistical physics of high-dimensional machine learning