Parsing human skeletons in an operating room

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The variational approach is a cornerstone of computational physics, considering both conventional and quantum computing computational platforms. The variational quantum eigensolver algorithm aims to prepare the ground state of a Hamiltonian exploiting para ...

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Collaborative learning algorithms, such as distributed SGD (or D-SGD), are prone to faulty machines that may deviate from their prescribed algorithm because of software or hardware bugs, poisoned data or malicious behaviors. While many solutions have been ...

Parsing human skeletons in an operating room

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Learning Sparse Graphons And The Generalized Kesten-Stigum Threshold

Phenomenological theory of variational quantum ground-state preparation

A Multimodal Dataset for Automatic Edge-AI Cough Detection

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

Ex uno plures: how to construct high-speed movies of collapsing cavitation bubbles from a single image

Approximation Algorithms for Allocation and Network Design

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Transformer Models for Vision

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Maximum Independent Set: Self-Training through Dynamic Programming

Robust Collaborative Learning with Linear Gradient Overhead