Two-Dimensional Ising Model

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Period ending 2026-09-21

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  1. Local-Minima-Preserving Continuous Relaxation of Ising Problems

    Jun 29, 2026Debraj Banerjee, Santanu Mahapatra, Kunal N. ChaudhurySemidefinite ProgrammingFlat Minima

  2. The Many-Body Problem of the Data Centre

    Jun 29, 2026Marcin Korecki, Cesare CarissimoArtificial Intelligence Data CentersData Centers

  3. Towards Physical Intuitions for Alignment Dynamics: A Case Study With Randomness Crystallization

    Jun 29, 2026Kunal Samanta, Ari Holtzman, Peter WestLarge Language Model AlignmentCrystal

  4. Unsupervised Thermodynamics of Molecular Diffusion Models: Action-Operator Semantics and Auditable Free-Energy Readout

    Jun 28, 2026Wenjie XiDiffusion DynamicsThermodynamics

  5. Scaling limit of the Random Language Model

    Jun 26, 2026Eric De GiuliContext-Free GrammarsLinguistics

  6. Generative Models on Analog Hardware with Dynamics

    Jun 25, 2026Yu-Neng Wang, Sara AchourAnalogGenerative Models

  7. PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation

    Jun 25, 2026Kexu Cheng, Zicheng Liu, Mingju Gao +2Large-Scale Video Generation ModelsText-To-Video Models

  8. Two-dimensional Hyperbolic RNN Neural Quantum State

    Jun 24, 2026H. L. DaoQuantum Neural NetworksTwo-Dimensional Ising Model

  9. Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach

    Jun 23, 2026Lianshuai Guo, Zhongzheng Yuan, Xunkai Li +2Federated Graph LearningGraph Representation Learning

  10. Scalable Physics-Inspired Transformers for Spin Glasses

    Jun 22, 2026Lu Zhong, Wenli Duan, Jing Liu +2Two-Dimensional Ising ModelBoltzmann Distributions

  11. Optimal Order of Multi-Agent and General Many-Body Systems

    Jun 18, 2026Jake J. XiaMulti-Agent SystemsCollective Behaviors

  12. Statistical Properties of Training & Generalization

    Jun 18, 2026Itay Lavie, Noam Levi, Yonatan KahnPhysics-Informed Machine LearningStatistical Mechanics

  13. Thermodynamic Measure of Intelligence

    Jun 18, 2026Ishanu ChattopadhyayCollective IntelligenceThermodynamics

  14. A Tool for the Synthesis of Adaptive Probabilistic Processors Based on the Ising Model

    Jun 17, 2026Jonathan Juracy Carneiro da Silva, Leonardo R. Gobatto, Jose Rodrigo AzambujaTwo-Dimensional Ising ModelGibbs Measures

  15. Thermodynamic Signatures of Reasoning: Free-Energy and Spectral-Form-Factor Diagnostics for Hallucination Detection in Large Language Models

    Jun 17, 2026Salim KhazemHallucination DetectionFree Energy Principle

  16. Private Learning with Public Feature Conditioning

    Jun 17, 2026Shuli Jiang, Walid Krichene, Nicolas MayorazDifferential PrivacyAI Privacy Risks and Protection

  17. Energy-efficient codon optimization on thermodynamic hardware

    Jun 15, 2026Andraz Jelincic, Ross C. WalkerThermodynamicsEnergy-Efficient

  18. Enhancing Quantum Machine Learning with Anyons

    Jun 15, 2026Da Zhang, Wen-Qiang Liu, Zhaohui Wei +1Quantum KernelsQuantum Machine Learning

  19. Learning ground state observables from quantum computing experiments

    Jun 14, 2026Ben Jaderberg, Freya Shah, Minjun Jeon +3Many-Body PhysicsTwo-Dimensional Ising Model

  20. Stochastic Thermodynamics and SDE-based Generative Models

    Jun 13, 2026Yaowen ZhangSchrödinger BridgesStatistical Mechanics

  21. An Integrable Token Mixing Layer from the Generalized Yang Baxter Equation

    Jun 13, 2026Snigdha Chandan KhilarMixSequence Modeling

  22. Physics of anticipatory active matter, with application to crowd dynamics

    Jun 12, 2026Alexis Raulin-Foissac, Alexandre NicolasPedestrianAgent-Based Model

  23. Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states

    Jun 11, 2026Yi-Ran Xue, Rui Wang, Baigeng Wang +1Quantum Topological PhasesEstimators

  24. Foundations of Practical Quantum Advantage in Quantum-Informed Machine Learning for Predicting Chaos

    Jun 11, 2026Maida Wang, Xiao Xue, Minh Chung +1Quantum Machine LearningQuantum Advantage

  25. SymQNet: Amortized Acquisition for Low-Latency Adaptive Hamiltonian Learning

    Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyHamiltonianQ-Learning

  26. Boltzmann Attention: Learnable Ising Couplings for Cooperative Attention

    Jun 10, 2026Gilhan Kim, Daniel K. ParkSequence ModelingTwo-Dimensional Ising Model

  27. Magnetic HIP-NN for spin dynamics in disordered itinerant magnets

    Jun 9, 2026Supriyo Ghosh, Yunhao Fan, Sheng Zhang +2Two-Dimensional Ising ModelStress Fields

  28. GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators

    Jun 6, 2026Jason Sulskis, Sathya RaviFourier Neural OperatorsNeural Operators

  29. GPT-Micro: A large language paradigm for accelerated, inexpensive, and thermodynamics-consistent discovery of constitutive models in manufacturing

    Jun 6, 2026Soumik Dutta, Kiarash Naghavi Khanghah, Sania Shree +4Porous MediaManufacturing

  30. Agentic multi-fidelity learning of quasiparticle and excitonic properties

    Jun 5, 2026Arnab Neogi, Aaron Forde, Christopher A. Lane +2Many-Body PhysicsFree-Energy Landscape

  31. In-Context Graphical Inference

    Jun 3, 2026Zehua Cheng, Wei Dai, Jiahao SunProbabilistic InferenceBayesian

  32. Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models

    Jun 3, 2026Dario Rancati, Max Welling, Francesco LocatelloStructural Causal ModelStatistical Mechanics

  33. Beyond Gradient Descent: Adam for Analog Ising Machines

    Jun 2, 2026Stijn Van Vooren, Guy Van der Sande, Guy VerschaffeltTwo-Dimensional Ising ModelAdam

  34. Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies

    May 31, 2026Biswajeet Sahoo, Debadutta PatraConventional Physics-Informed Neural NetworksPhysics-Informed Machine Learning

  35. Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials

    May 29, 2026Edward W. Staley, Tom Arbaugh, Michael Pekala +6Data-Driven Materials DiscoveryAutomated Synthesis Techniques

  36. Physically Constrained Ensemble Gaussian Process Modelling for Expensive Quantum Systems with Heteroskedastic Noise

    May 29, 2026Arpan Biswas, Sutirtha Paul, Joseph Agada +2Many-Body PhysicsGaussian Process

  37. Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression

    May 29, 2026Federico Califano, Jacopo Ciambella6-Dof Viscoelastic MechanismThermodynamics

  38. Free energy Estimation on Any State Space

    May 29, 2026Jiajun He, Zijing Ou, Francisco Vargas +4Free Energy PrincipleEstimators

  39. Interpreting FCDNNs via RG on Exponential Family

    May 29, 2026Fuzhou Gong, Zigeng XiaRenormalization GroupModel Interpretability

  40. Attention-based optimizer for symmetry finding

    May 28, 2026Shreya Banerjee, Vinodh Raj Rajagopal Muthu, Charlie Nation +5SymmetryTwo-Dimensional Ising Model

  41. Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization

    May 28, 2026Petar JolakoskiKernel Ridge RegressionCovariance Estimation

  42. LoRe: Adaptive Interaction-Evaluation Routing with Per-Step Interaction Budgets for Iterative Graph Solvers

    May 27, 2026Jintao Li, Yong-Yi Wang, Zheng-An Wang +1Neural SolversInference-Time

  43. Thermodynamic properties of chemically disordered compounds via AI-driven estimation of partition function with the PULSE method

    May 27, 2026Baptiste Bernard, Luca Messina, Eiji Kawasaki +1ThermodynamicsBoltzmann Distributions

  44. On the Equivariant Learning of the QQ-tensor Order Parameter

    May 26, 2026Julia Navarro, Mark WilkinsonEquivariant Neural NetworksQuantum Neural Networks

  45. Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem

    May 26, 2026Bei Qiao, Lei WangHamiltonian Monte CarloVariational Quantum Circuits

  46. Machine Learning Multiscale Interactions

    May 25, 2026Àlex Solé, Sergio Suárez-Dou, Albert Mosella-Montoro +4Molecular DynamicsMany-Body Physics

  47. A computational phase transition for learning-to-sample from Ising models

    May 23, 2026Andrej Risteski, Thuy-Duong VuongTwo-Dimensional Ising ModelPhase Transitions

  48. Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization

    May 23, 2026Khen Cohen, Mark Glass, Meir Feder +1Quantum Approximate Optimization AlgorithmSemidefinite Programming

  49. High-Dimensional Latents Should Be Diagnosed Through Phase Structure

    May 23, 2026Alejandro Ascarate, Leo Lebrat, Rodrigo Santa Cruz +2Variational AutoencoderUnsupervised Dictionary Learning

  50. Comment on "Spin-1/2 Kagome Heisenberg Antiferromagnet: Machine Learning Discovery of the Spinon Pair-Density-Wave Ground State"

    May 21, 2026Helia Kamal, Dominik Kufel, DinhDuy Vu +2Two-Dimensional Ising ModelRenormalization Group

  51. Thermodynamic Irreversibility of Training Algorithms

    May 21, 2026Liu Ziyin, Yuanjie Ren, Adam Levine +1ThermodynamicsLearning Dynamics

  52. Targeting Clause Type Distributions: a Picklock for Random Satisfiability Problems

    May 19, 2026J. Schwardt, J. C. BudichSatisfiabilityParallel Continuous Local Search

  53. Representability-Aware Neural Networks for Reduced Density Matrices: Application to Fractional Chern Insulators

    May 19, 2026Justin B. Hart, Awwab A. Azam, Thomas Li +4Quantum Topological PhasesMany-Body Physics

  54. Can machine learning for quantum-gas experiments be explainable?

    May 18, 2026I. B. Spielman amd J. P. ZwolakQuantum Machine LearningMany-Body Physics

  55. Variational Autoregressive Networks with probability priors

    May 15, 2026Piotr Białas, Piotr Korcyl, Tomasz Stebel +1Two-Dimensional Ising ModelVariational Inference

  56. Thermodynamic Networks: Harnessing Non-Equilibrium Steady States for Computation

    May 15, 2026Patryk Lipka-Bartosik, Gianmichele Blasi, Javier Lalueza Puértolas +3ThermodynamicsStatistical Mechanics

  57. Reweighting free energy profiles between universal machine learning interatomic potentials for fast consensus building

    May 15, 2026Sauradeep Majumdar, Miguel Steiner, Johannes C. B. Dietschreit +4Interatomic PotentialsFree Energy Principle

  58. Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo

    May 13, 2026Ejaaz Merali, Mohamed Hibat-Allah, Mohammad Kohandel +2Quantum Neural NetworksMany-Body Physics

  59. The critical slowing down in diffusion models

    May 12, 2026Luca Maria Del Bono, Giulio Biroli, Patrick Charbonneau +1Statistical MechanicsGenerative Models

  60. Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning

    May 12, 2026Mouyang Cheng, Bowen Yu, Chu-Liang Fu +14X-Ray Photon Correlation SpectroscopyStatistical Mechanics