Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
Abstract: Many safety-critical applications of neural networks, such as robotic control, require safety guarantees. This article introduces a method for ensuring the safety of learned models for ...
Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...
Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...
Theseus is an efficient application-agnostic library for building custom nonlinear optimization layers in PyTorch to support constructing various problems in robotics and vision as end-to-end ...
1 Aviation Meteorology Technology Research and Application Laboratory of SWATMB, Chengdu, China 2 Chengdu University of Information Technology, Chengdu, China In meteorological Cyber–Physical–Social ...
This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost. For ...
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