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Found 5 papers, 2 papers with code
Predicting quantum channels over general product distributions
Previously, Huang, Chen, and Preskill proved a surprising result that even if $E$ is arbitrary, this task can be solved in time roughly $n^{O(\log(1/\epsilon))}$, where $\epsilon$ is the target prediction error.
Learning Neural PDE Solvers with Convergence Guarantees
Partial differential equations (PDEs) are widely used across the physical and computational sciences.
Vision-Based Gait Analysis for Senior Care
As the senior population rapidly increases, it is challenging yet crucial to provide effective long-term care for seniors who live at home or in senior care facilities.
Learning to Decompose and Disentangle Representations for Video Prediction
Our goal is to predict future video frames given a sequence of input frames.
Graph Distillation for Action Detection with Privileged Modalities
We propose a technique that tackles action detection in multimodal videos under a realistic and challenging condition in which only limited training data and partially observed modalities are available.
