Showing 1–20 of 43 results
/ Date/ Name
Nov 9, 2021Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional AutoencoderMar 11, 2022Solving Simulation Systematics in and with AI/MLMar 4, 2022UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translationApr 9, 2024Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field ReconstructionOct 27, 2025Robust and Generalizable Background Subtraction on Images of Calorimeter Jets using Unsupervised Generative LearningNov 18, 2024Variable Rate Neural Compression for Sparse Detector DataDec 4, 2025IE2Video: Adapting Pretrained Diffusion Models for Event-Based Video ReconstructionOct 18, 2016From Network Reliability to the Ising Model: A Parallel Scheme for Estimating the Joint Density of StatesApr 27, 2022Smart sensors using artificial intelligence for on-detector electronics and ASICsAug 13, 2025FM4NPP: A Scaling Foundation Model for Nuclear and Particle PhysicsDec 3, 2024EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based VisionMay 23, 2024Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experimentsMay 21, 2019Performance Analysis of Deep Learning Workloads on Leading-edge SystemsMar 28, 2023UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image TranslationJul 17, 2023Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-ThreatsSep 6, 2025TPCpp-10M: Simulated proton-proton collisions in a Time Projection Chamber for AI Foundation ModelsJun 7, 2022Perturbative methods for mostly monotonic probabilistic satisfiability problemsMar 11, 2022DUNE Software and High Performance ComputingOct 17, 2014Predicting commuter flows in spatial networks using a radiation model based on temporal rangesJan 23, 2026Parameter Inference and Uncertainty Quantification with Diffusion Models: Extending CDI to 2D Spatial Conditioning