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Computational linguistics

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Computational linguistics

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Capsule networks as recurrent models of grouping and segmentation

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Graph-to-Graph Transformer for Transition-based Dependency Parsing

Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses

Phase-Change Memory Models for Deep Learning Training and Inference

A Representer Theorem for Deep Neural Networks

Towards Understanding of Human Kinematic Coordination Patterns in Bimanual Fine Manipulation Tasks

Computing Crowd Consensus with Partial Agreement (Extended Abstract)

Interactions of spatial strategies producing generalization gradient and blocking: A computational approach

Towards Understanding of Human Kinematic Coordination Patterns in Bimanual Fine Manipulation Tasks

Computing Crowd Consensus with Partial Agreement (Extended Abstract)

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Capsule networks as recurrent models of grouping and segmentation

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses

Graph-to-Graph Transformer for Transition-based Dependency Parsing

A Representer Theorem for Deep Neural Networks

Phase-Change Memory Models for Deep Learning Training and Inference

Interactions of spatial strategies producing generalization gradient and blocking: A computational approach