conftrace_

ising model

85 papers

Explore in graph

Co-occurring keywords

graphical model (864) markov random field (303) structure learning (341) markov chain monte carlo (725) sample complexity (1169) combinatorial optimization (1039) partition function (81) phase transition (92) probabilistic modeling (852) belief propagation (177)

Papers

Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract) AAAI 2026
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025
Logistic Regression Under Network Dependence JMLR 2024
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover NIPS 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NIPS 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
A Dynamical Systems Perspective on Discrete Optimization L4DC 2023
Feature Programming for Multivariate Time Series Prediction ICML 2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models AISTATS 2023
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark NIPS 2023
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty AAAI 2023
Adiabatic Quantum Computing for Multi Object Tracking CVPR 2022
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models COLT 2022
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods COLT 2022
Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022
Predictive Learning on Hidden Tree-Structured Ising Models JMLR 2021
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis NIPS 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NIPS 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021
Statistical Estimation from Dependent Data ICML 2021
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics ICML 2021
Learning Shared Subgraphs in Ising Model Pairs AISTATS 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models AAAI 2021
Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021