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08/14/2023
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting
The criticality of prompt and precise traffic forecasting in optimizing ...
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11/27/2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
We propose an efficient design of Transformer-based models for multivari...
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04/25/2022
Stochastic Models of Stem Cells and Their Descendants under Different Criticality Assumptions
We study time continuous branching processes with exponentially distribu...
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04/22/2021
A Strong Baseline for Vehicle Re-Identification
Vehicle Re-Identification (Re-ID) aims to identify the same vehicle acro...
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04/07/2021
Optimal fire allocation in a combat model of mixed NCW type
In this work, we introduce a nonlinear Lanchester model of NCW-type and ...
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05/26/2020
Experimental evaluation of quantum Bayesian networks on IBM QX hardware
Bayesian Networks (BN) are probabilistic graphical models that are widel...
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04/29/2020
Quantum circuit representation of Bayesian networks
Probabilistic graphical models such as Bayesian networks are widely used...
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02/06/2019
A Scale Invariant Flatness Measure for Deep Network Minima
It has been empirically observed that the flatness of minima obtained fr...
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01/18/2018
When Does Stochastic Gradient Algorithm Work Well?
In this paper, we consider a general stochastic optimization problem whi...
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10/29/2014
