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05/13/2023
MHDnet: Multi-modes multiscale physics informed neural networks for solving magnetohydrodynamics problems
Modeling and control of the magnetohydrodynamics (MHD) system remain a c...
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04/25/2023
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems
In the paper, we propose a novel approach for solving Bayesian inverse p...
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01/16/2023
Numerical analysis of pit-to-crack transition under corrosion fatigue using a stochastic pit generation algorithm
Corrosion fatigue is a major threat to the integrity of marine structure...
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04/01/2022
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design
Decentralized exchanges (DEXs) provide a means for users to trade pairs ...
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03/25/2022
Using Reinforcement Learning to Study Platform Economies under Market Shocks
Driven by rapid digitization and expansive internet access, market-drive...
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10/29/2021
Federated Semi-Supervised Learning with Class Distribution Mismatch
Many existing federated learning (FL) algorithms are designed for superv...
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09/14/2021
Designing a Combinatorial Financial Options Market
Financial options are contracts that specify the right to buy or sell an...
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02/15/2021
Log-time Prediction Markets for Interval Securities
We design a prediction market to recover a complete and fully general pr...
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06/11/2018
Cross-dataset Person Re-Identification Using Similarity Preserved Generative Adversarial Networks
Person re-identification (Re-ID) aims to match the image frames which co...
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11/23/2016