:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Michishita, Yoshihiro
Format:	Preprint
Published:	2023
Subjects:	Computational Physics Disordered Systems and Neural Networks Artificial Intelligence
Online Access:	https://arxiv.org/abs/2311.12713
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empowering AlphaFold2 for protein conformation selective drug discovery with AlphaFold2-RAVE
by: Gu, Xinyu, et al.
Published: (2024)

Discover physical concepts and equations with machine learning
by: Li, Bao-Bing, et al.
Published: (2024)

Learning About Learning: A Physics Path from Spin Glasses to Artificial Intelligence
by: Caprioti, Denis D., et al.
Published: (2026)

Data-Driven Learnability Transition of Measurement-Induced Entanglement
by: Qian, Dongheng, et al.
Published: (2025)

Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
by: Del Bono, Luca Maria, et al.
Published: (2025)

Autoencoder-based analytic continuation method for strongly correlated quantum systems
by: Kliczkowski, Maksymilian, et al.
Published: (2023)

Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?
by: Marino, Raffaele
Published: (2024)

Zero-temperature Monte Carlo simulations of two-dimensional quantum spin glasses guided by neural network states
by: Brodoloni, L., et al.
Published: (2024)

Spiking mode-based neural networks
by: Lin, Zhanghan, et al.
Published: (2023)

Predictive Coding Graphs are a Superset of Feedforward Neural Networks
by: van Zwol, Björn
Published: (2026)

Nature-Inspired Local Propagation
by: Betti, Alessandro, et al.
Published: (2024)

Approximation Theory for Neural Networks: Old and New
by: Mukherjee, Soumendu Sundar, et al.
Published: (2026)

Preisach Attention: A Hysteretic Model of Sequential Memory
by: Frydrych, Piotr
Published: (2026)

Predictive Coding Networks and Inference Learning: Tutorial and Survey
by: van Zwol, Björn, et al.
Published: (2024)

Context-Gated Associative Retrieval: From Theory to Transformers
by: Choraria, Moulik, et al.
Published: (2026)

Exploring Loss Landscapes through the Lens of Spin Glass Theory
by: Liao, Hao, et al.
Published: (2024)

Consciousness as a Jamming Phase
by: Ouyang, Kaichen
Published: (2025)

Proposed modified computational model for the amoeba-inspired combinatorial optimization machine
by: Miyajima, Yusuke, et al.
Published: (2024)

Applications of Statistical Field Theory in Deep Learning
by: Ringel, Zohar, et al.
Published: (2025)

Quantum Critical Dynamics Induced by Topological Zero Modes
by: Komissarov, Ilia, et al.
Published: (2025)

AI-enhanced tuning of quantum dot Hamiltonians toward Majorana modes
by: Krawczyk, Mateusz, et al.
Published: (2026)

A method for quantifying the generalization capabilities of generative models for solving Ising models
by: Ma, Qunlong, et al.
Published: (2024)

Statistical physics for artificial neural networks
by: Pei, Zongrui
Published: (2025)

Sketch of a novel approach to a neural model
by: Scheler, Gabriele
Published: (2022)

Dynamic Reservoir Computing with Physical Neuromorphic Networks
by: Xu, Yinhao, et al.
Published: (2025)

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization
by: Del Bono, Luca Maria, et al.
Published: (2025)

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
by: Mohseni, Masoud, et al.
Published: (2024)

The critical slowing down in diffusion models
by: Del Bono, Luca Maria, et al.
Published: (2026)

Construction of Machine-Learning Interatomic Potential Under Heat Flux Regularization and Its Application to Power Spectrum Analysis for Silver Chalcogenides
by: Shimamura, Kohei, et al.
Published: (2022)

Design Principles for Realizable Discrete Surface Embeddings in Physical Systems
by: Kim, Kyungeun, et al.
Published: (2025)

How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator
by: Kantamneni, Subhash, et al.
Published: (2024)

DDNet: A Unified Physics-Informed Deep Learning Framework for Semiconductor Device Modeling
by: Riganti, Roberto, et al.
Published: (2025)

Solving excited states for long-range interacting trapped ions with neural networks
by: Ma, Yixuan, et al.
Published: (2025)

Testing Transformer Learnability on the Arithmetic Sequence of Rooted Trees
by: Breccia, Alessandro, et al.
Published: (2025)

NCoder -- A Quantum Field Theory approach to encoding data
by: Berman, David S., et al.
Published: (2024)

Advantage of Quantum Neural Networks as Quantum Information Decoders
by: Zhong, Weishun, et al.
Published: (2024)

The Agentification of Scientific Research: A Physicist's Perspective
by: Qi, Xiao-Liang
Published: (2026)

Fragmentation, Zero Modes, and Collective Bound States in Constrained Models
by: Nicolau, Eloi, et al.
Published: (2025)

Learning in Wilson-Cowan model for metapopulation
by: Marino, Raffaele, et al.
Published: (2024)

A Generative Neural Annealer for Black-Box Combinatorial Optimization
by: Zhang, Yuan-Hang, et al.
Published: (2025)