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07/26/2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators
Recently, using neural networks to simulate spatio-temporal dynamics has...
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06/13/2023
Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
Knowledge base question answering (KBQA) has attracted a lot of interest...
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03/17/2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Graph Neural Networks (GNNs) are de facto solutions to structural data l...
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02/16/2023
Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations
Many important problems in science and engineering require solving the s...
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06/14/2022
Computing Real Numbers with Large-Population Protocols Having a Continuum of Equilibria
Bournez, Fraigniaud, and Koegler defined a number in [0,1] as computable...
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10/30/2019
Algorithmic Randomness in Continuous-Time Markov Chains
In this paper we develop the elements of the theory of algorithmic rando...
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10/30/2019
Asymptotic Divergences and Strong Dichotomy
The Schnorr-Stimm dichotomy theorem concerns finite-state gamblers that ...
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01/14/2019
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks
Distributed synchronous stochastic gradient descent (S-SGD) with data pa...
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09/04/2018
Computational multifocal microscopy
Despite recent advances, high performance single-shot 3D microscopy rema...
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07/06/2018
U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling
Novel data acquisition schemes have been an emerging need for scanning m...
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03/27/2018
Real-Time Computability of Real Numbers by Chemical Reaction Networks
We explore the class of real numbers that are computed in real time by d...
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04/13/2015