CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver

no code implementations • 5 Mar 2024 • Zhenyu Pan, Ammar Gilani, En-Jui Kuo, Zhuo Liu

We propose an RNN-based efficient Ising model solver, the Criticality-ordered Recurrent Mean Field (CoRMF), for forward Ising problems.

Path sampling of recurrent neural networks by incorporating known physics

no code implementations • 1 Mar 2022 • Sun-Ting Tsai, Eric Fields, Yijia Xu, En-Jui Kuo, Pratyush Tiwary

Often one wishes to supplement the experimentally observed dynamics with prior knowledge or intuition about the system.

Time Series Time Series Analysis

Quantum Architecture Search via Deep Reinforcement Learning

1 code implementation • 15 Apr 2021 • En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen

Recent advances in quantum computing have drawn considerable attention to building realistic application for and using quantum computers.

reinforcement-learning Reinforcement Learning (RL)

Learning Molecular Dynamics with Simple Language Model built upon Long Short-Term Memory Neural Network

2 code implementations • 26 Apr 2020 • Sun-Ting Tsai, En-Jui Kuo, Pratyush Tiwary

We anticipate that our work represents a stepping stone in the understanding and use of RNNs for modeling and predicting dynamics of complex stochastic molecular systems.

Disordered Systems and Neural Networks Statistical Mechanics Chemical Physics Data Analysis, Statistics and Probability

Towards Spinning Mellin Amplitudes

1 code implementation • 21 Dec 2017 • Heng-Yu Chen, En-Jui Kuo, Hideki Kyono

We construct the Mellin representation of four point conformal correlation function with external primary operators with arbitrary integer spacetime spins, and obtain a natural proposal for spinning Mellin amplitudes.

High Energy Physics - Theory