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Multi-Objective Management of Multiprocessor Systems: From Heuristics to Reinforcement Learning

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Multi-Objective Management of Multiprocessor Systems: From Heuristics to Reinforcement Learning

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Communication-efficient distributed training of machine learning models

Evaluating the effect of sparse convolutions on point cloud compression

Pipelined Architecture for Soft-Decision Iterative Projection Aggregation Decoding for RM Codes

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression

OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

Learning-based Image Coding: Early Solutions Reviewing and Subjective Quality Evaluation

Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias

Improving Multi-agent Coordination by Learning to Estimate Contention

Improving Multi-agent Coordination by Learning to Estimate Contention

Learning-based Image Coding: Early Solutions Reviewing and Subjective Quality Evaluation

Communication-efficient distributed training of machine learning models

Improving Multi-agent Coordination by Learning to Estimate Contention

Evaluating the effect of sparse convolutions on point cloud compression

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

Improving Multi-agent Coordination by Learning to Estimate Contention

Pipelined Architecture for Soft-Decision Iterative Projection Aggregation Decoding for RM Codes

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression

OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias