{"total":52,"rows":[{"id":"2402.17139","title":"Video as the New Language for Real-World Decision Making","created":"2024-02-27","cited_by_count":87,"area":null},{"id":"2305.04847","title":"CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation","created":"2023-05-08","cited_by_count":33,"area":null},{"id":"2211.10295","title":"Evaluating generative models in high energy physics","created":"2022-11-18","cited_by_count":31,"area":null},{"id":"2211.15380","title":"CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds","created":"2022-11-23","cited_by_count":28,"area":null},{"id":"2303.05376","title":"PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics","created":"2023-03-09","cited_by_count":27,"area":null},{"id":"2303.08046","title":"Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning","created":"2023-03-07","cited_by_count":25,"area":null},{"id":"2309.17082","title":"Diffusion Models as Stochastic Quantization in Lattice Field Theory","created":"2023-09-29","cited_by_count":24,"area":"diffusion"},{"id":"2301.08128","title":"EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets","created":"2023-01-17","cited_by_count":23,"area":null},{"id":"2305.10399","title":"End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics","created":"2023-05-17","cited_by_count":22,"area":"diffusion"},{"id":"2305.11934","title":"Inductive Simulation of Calorimeter Showers with Normalizing Flows","created":"2023-05-19","cited_by_count":22,"area":null},{"id":"2309.05704","title":"CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation","created":"2023-09-11","cited_by_count":20,"area":null},{"id":"2312.09597","title":"Deep Generative Models for Detector Signature Simulation: A Taxonomic Review","created":"2023-12-15","cited_by_count":18,"area":null},{"id":"2307.04780","title":"Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation","created":"2023-07-10","cited_by_count":16,"area":"diffusion"},{"id":"2405.06605","title":"Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation","created":"2024-05-10","cited_by_count":15,"area":null},{"id":"2210.14245","title":"CaloFlow for CaloChallenge Dataset 1","created":"2022-10-25","cited_by_count":14,"area":null},{"id":"2501.05534","title":"OmniJet-${\\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers","created":"2025-01-09","cited_by_count":14,"area":null},{"id":"2311.03578","title":"Generative Diffusion Models for Lattice Field Theory","created":"2023-11-06","cited_by_count":13,"area":"diffusion"},{"id":"2405.20407","title":"Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows","created":"2024-05-30","cited_by_count":13,"area":null},{"id":"2306.03933","title":"High-dimensional and Permutation Invariant Anomaly Detection","created":"2023-06-06","cited_by_count":12,"area":null},{"id":"2312.10130","title":"Improving new physics searches with diffusion models for event observables and jet constituents","created":"2023-12-15","cited_by_count":10,"area":"diffusion"},{"id":"2502.05504","title":"Physics-Conditioned Diffusion Models for Lattice Gauge Theory","created":"2025-02-08","cited_by_count":9,"area":"diffusion"},{"id":"2307.06836","title":"PC-Droid: Faster diffusion and improved quality for particle cloud generation","created":"2023-07-13","cited_by_count":8,"area":"diffusion"},{"id":"2404.14332","title":"Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion","created":"2024-04-22","cited_by_count":8,"area":null},{"id":"2506.21720","title":"CaloHadronic: a diffusion model for the generation of hadronic showers","created":"2025-06-26","cited_by_count":8,"area":"diffusion"},{"id":"2308.11700","title":"Calorimeter shower superresolution","created":"2023-08-22","cited_by_count":7,"area":null},{"id":"2406.03233","title":"Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN","created":"2024-06-05","cited_by_count":6,"area":"diffusion"},{"id":"2406.13074","title":"PIPPIN: Generating variable length full events from partons","created":"2024-06-18","cited_by_count":6,"area":null},{"id":"2601.13308","title":"Scaling laws for amplitude surrogates","created":"2026-01-19","cited_by_count":6,"area":null},{"id":"2305.11531","title":"Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation","created":"2023-05-19","cited_by_count":5,"area":null},{"id":"2406.12898","title":"A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation","created":"2024-06-08","cited_by_count":5,"area":null},{"id":"2307.08593","title":"Artificial Intelligence for the Electron Ion Collider (AI4EIC)","created":"2023-07-17","cited_by_count":3,"area":null},{"id":"2404.18219","title":"BUFF: Boosted Decision Tree based Ultra-Fast Flow matching","created":"2024-04-28","cited_by_count":3,"area":"diffusion"},{"id":"2509.08048","title":"Forecasting Generative Amplification","created":"2025-09-09","cited_by_count":3,"area":null},{"id":"2512.20346","title":"Inverse Autoregressive Flows for Zero Degree Calorimeter fast simulation","created":"2025-12-23","cited_by_count":3,"area":null},{"id":"2601.11716","title":"AllShowers: One model for all calorimeter showers","created":"2026-01-16","cited_by_count":3,"area":null},{"id":"2603.28804","title":"Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning","created":"2026-03-27","cited_by_count":3,"area":"moe"},{"id":"2312.00042","title":"DeepTreeGANv2: Iterative Pooling of Point Clouds","created":"2023-11-24","cited_by_count":2,"area":null},{"id":"2412.12074","title":"Extrapolating Jet Radiation with Autoregressive Transformers","created":"2024-12-16","cited_by_count":2,"area":null},{"id":"2507.18811","title":"Even Faster Simulations with Flow Matching: A Study of Zero Degree Calorimeter Responses","created":"2025-07-24","cited_by_count":2,"area":"diffusion"},{"id":"2511.17293","title":"A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates","created":"2025-11-21","cited_by_count":2,"area":null},{"id":"2605.30453","title":"Generative Models and Statistical Validation","created":"2026-05-28","cited_by_count":2,"area":null},{"id":"2609.31862","title":"Prompting Particle Physics: Tokenized Multi-modal Foundation Models for Combinatorially Many Tasks","created":"2026-09-25","cited_by_count":2,"area":null},{"id":"2212.08233","title":"Geometry-aware Autoregressive Models for Calorimeter Shower Simulations","created":"2022-12-16","cited_by_count":1,"area":null},{"id":"2306.04712","title":"Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC","created":"2023-06-07","cited_by_count":1,"area":null},{"id":"2410.22074","title":"Variational inference for pile-up removal at hadron colliders with diffusion models","created":"2024-10-29","cited_by_count":1,"area":"diffusion"},{"id":"2504.03387","title":"BitHEP -- The Limits of Low-Precision ML in HEP","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2606.04165","title":"CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters","created":"2026-06-02","cited_by_count":1,"area":"diffusion"},{"id":"2503.21536","title":"Exploring the Energy Landscape of RBMs: Reciprocal Space Insights into Bosons, Hierarchical Learning and Symmetry Breaking","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2508.00250","title":"Jet Image Generation in High Energy Physics Using Diffusion Models","created":"2025-08-01","cited_by_count":0,"area":"diffusion"},{"id":"2606.16035","title":"GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2607.16144","title":"Learning Standard Model structure from LHC data with Riemannian flow matching","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2607.25060","title":"Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation","created":"2026-07-27","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}