Multi-Agent Learning in Contextual Games under Unknown Constraints

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We present Mmkg, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs. Therefore, multi-relational link prediction and entity matching communiti ...

Multi-Agent Learning in Contextual Games under Unknown Constraints

Chattez avec Graph Search

Controlled learning of pointwise nonlinearities in neural-network-like architectures

Dependable learning and control through Neural ODEs

Deterministic equivalent and error universality of deep random features learning

Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control

Divergences in color perception between deep neural networks and humans

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Semi-supervised Active Salient Object Detection

Flow Time Scheduling and Prefix Beck-Fiala

A machine learning approach to portfolio pricing and risk management for high-dimensional problems

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

High Resolution Interferometric Imaging of Liquid-Solid Interfaces with HOTNNET

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Self-Supervision By Prediction For Object Discovery In Videos

Physics-enhanced machine learning with symmetry-adapted and long-range representations

Age-Dependent Statistical Learning Trajectories Reveal Differences in Information Weighting

Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis

Geometry Aware Convolutional Filters for Omnidirectional Images Representation

MMKG: Multi-modal Knowledge Graphs