Generative Models

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Generative Models

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1,168 papers

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Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets
May 14, 2026Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer +17Benchmark Datasets Metadata
Separating Intrinsic Ambiguity from Estimation Uncertainty in Deep Generative Models for Linear Inverse Problems
May 14, 2026Yuxin Guo, Dongrui Deng, Pulkit GroverCalibrated Uncertainty Ill-Posed Inverse Problem
Persian MusicGen: A Large-Scale Dataset and Culturally-Aware Generative Model for Persian Music
May 14, 2026Mohammad Hossein Sameti, Diba Hadi Esfangereh, Sepehr Harfi Moridani +2Music Generation Persian
Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement
May 14, 2026Nian Liu, Nikita Kazeev, Stephen Gregory Dale +8Crystal Molecular Generation
The Rate-Distortion-Polysemanticity Tradeoff in SAEs
May 14, 2026Tommaso Mencattini, Francesco Montagna, Francesco LocatelloSemantic Representations Mechanistic Interpretability
Privacy Evaluation of Generative Models for Trajectory Generation
May 14, 2026Stavros Bouras, Ioannis Kontopoulos, Chiara Pugliese +5Generative Models Latent Trajectories
Action-Inspired Generative Models
May 14, 2026Eshwar R. A., Debnath PalGenerative Models Generative Adversarial Network
A plug-and-play generative framework for multi-satellite precipitation estimation
May 14, 2026Yunfan Yang, Haofei Sun, Xiuyu Sun +7Precipitation Satellite Data
From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline
May 14, 2026Rabin Kunwar, Dikshya Parajuli, Rujal Acharya +12Restoration Robust Segmentation
CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation
May 14, 2026Yuyang Wu, Stefano Falletta, Delia McGrath +1Crystal Structure Crystallographic Plane Indices
Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
May 14, 2026Aarushi Kulkarni, Alarice Lowe, Pratik ShahComputational Pathology Dual-Domain Equivariant Generative Adversarial Network
Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
May 13, 2026Luis Lara, Aristides Milios, Zhi Hao Luo +5Floor Plan Generation Large Language Model Planning
Synthetic Sociality: How Generative Models Privatize the Social Fabric
May 13, 2026Ana Dodik, Moira WeigelSocial Dynamics Generative Models
SurF: A Generative Model for Multivariate Irregular Time Series Forecasting
May 13, 2026Mohammad R. Rezaei, Tejas Balaji, Rahul G. KrishnanMultivariate Time Series Forecasting Determinantal Point Process
Conditional Attribute Estimation with Autoregressive Sequence Models
May 13, 2026Erica Stutz, Giacomo Marino, Daniella Meeker +2Next-Token Prediction Autoregressive Model
PBT-Bench: Benchmarking AI Agents on Property-Based Testing
May 13, 2026Lucas Jing, Xinqi Wang, Liao Zhang +1Agentic Benchmarks Test Generation
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers
May 13, 2026Evelyn Turri, Davide Bucciarelli, Sara Sarto +2Data Generation
Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception
May 13, 2026Arka Bhowmick, Enes Ozeren, Ahmed Abdullah +1Autonomous Driving Perception 3D Object Detection
Distinguishing performance gains from learning when using generative AI
May 13, 2026Lixiang Yan, Samuel Greiff, Jason M. Lodge +1Generative Artificial Intelligence Generative
SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing
May 13, 2026Marten J. Finck, Niklas C. Koser, Sarker M. Mahfuz +7Coronary Angiography Vessels
Cross Modality Image Translation In Medical Imaging Using Generative Frameworks
May 13, 2026Giulia Romoli, Alessia Capoccia, Filippo Ruffini +20Image-To-Image Translation Medical Image Generation
HetScene: Heterogeneity-Aware Diffusion for Dense Indoor Scene Generation
May 13, 2026Zini Chen, Junming Huang, Rong Zhang +4Indoor Scene Generation Layouts
Learning Local Constraints for Reinforcement-Learned Content Generators
May 13, 2026Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1Motion Generation Constraint Satisfaction
LongBEL: Long-Context and Document-Consistent Biomedical Entity Linking
May 13, 2026Adam Remaki, Xavier Tannier, Christel GérardinMedical Ontology Longbench
Support-Conditioned Flow Matching Is Kernel Smoothing
May 13, 2026Daniel Matsui SmolaKernel Method Conditional Flow Matching
Proximal-Based Generative Modeling for Bayesian Inverse Problems
May 13, 2026Boyang Zhang, Zhiguo Wang, Ya-Feng LiuScore-Based Diffusion Model Ill-Posed Inverse Problem
GenCape: Structure-Inductive Generative Modeling for Category-Agnostic Pose Estimation
May 13, 2026Jiyong Rao, Yu Wang, Shengjie ZhaoCategory-Level Object Pose Estimation Geometry-Aware Foundation Model
Generative Modeling of Approximately Periodic Time Series by a Posterior-Weighted Gaussian Process
May 13, 2026Elias Reich, Saverio Messineo, Stefan HuberGaussian Process Periodic Domains
AcquisitionSynthesis: Targeted Data Generation using Acquisition Functions
May 13, 2026Ishika Agarwal, Sofia Stoica, Emre Can Acikgoz +4Synthetic Data Data Generation
LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
May 13, 2026Guoxiong Gao, Zeming Sun, Jiedong Jiang +5Theorem Retrieval Strategies
Does language matter for spoken word classification? A multilingual generative meta-learning approach
May 13, 2026Batsirayi Mupamhi Ziki, Louise Beyers, Ruan van der MerweMultilingual Language Models English
Scaling few-shot spoken word classification with generative meta-continual learning
May 13, 2026Louise Beyers, Batsirayi Mupamhi Ziki, Ruan van der MerweFew-Shot Learning Subword Tokenization
Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
May 13, 2026Yejin Lee, Yo-Sub HanDiffusion Language Models Autoregressive Language Models
EgoForce: Robust Online Egocentric Motion Reconstruction via Diffusion Forcing
May 13, 2026Inwoo Hwang, Donggeun Lim, Hojun Jang +1Ego-Motion Egocentric Vision
GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion
May 13, 2026Hanxin Zhu, Cong Wang, Peiyan Tu +43D Generative Models 3D World
Coreset-Induced Conditional Velocity Flow Matching
May 13, 2026Xiao Wang, Zihua She, Jianxi SuConditional Flow Matching Generative Models
The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models
May 13, 2026Zhiyu Zhao, Xuejie Liu, Muhan Zhang +1Expressivity Autoregressive Language Models
DirectTryOn: One-Step Virtual Try-On via Straightened Conditional Transport
May 13, 2026Xianbing Sun, Jiahui Zhan, Liqing Zhang +1Virtual Try-On Few-Step Generation
Mechanism Plausibility in Generative Agent-Based Modeling
May 12, 2026Patrick Zhao, David Huu Pham, Nicholas VincentAgent-Based Model Physical Plausibility
Lossless Anti-Distillation Sampling
May 12, 2026Zibo Diao, Jingchu Gai, Xinyue Ai +3Batch Distillation Generative Models
Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling
May 12, 2026Jacob K. Christopher, James E. Warner, Ferdinando FiorettoGenerative Models Hierarchical Flow Matching
The critical slowing down in diffusion models
May 12, 2026Luca Maria Del Bono, Giulio Biroli, Patrick Charbonneau +1Statistical Mechanics Generative Models
Predicting Disagreement with Human Raters in LLM-as-a-Judge Difficulty Assessment without Using Generation-Time Probability Signals
May 12, 2026Yo EharaLlm-As-A-Judge Mean Opinion Scores
DriftXpress: Faster Drifting Models via Projected RKHS Fields
May 12, 2026Ali Falahati, Elliot Creager, Gautam Kamath +1Generative Models Image Denoising
SyncDPO: Enhancing Temporal Synchronization in Video-Audio Joint Generation via Preference Learning
May 12, 2026Xin Cheng, Xihua Wang, Ying Ba +5Joint Audio-Video Generation Spatio-Temporal Coherence
Machine Learning for neutron source distributions
May 12, 2026Jose Ignacio Robledo, Norberto Schmidt, Klaus Lieutenant +3Machine Learning Generative Models
Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models
May 12, 2026Yexing Xu, Wei Feng, Shen Zhang +15Ads Text Generation
STRUM: A Spectral Transcription and Rhythm Understanding Model for End-to-End Generation of Playable Rhythm-Game Charts
May 12, 2026Joshua OpriaPublic Neuroqwerty Generative Framework
QDSB: Quantized Diffusion Schrödinger Bridges
May 12, 2026Tobias Fuchs, Florian Kalinke, Nadja KleinSchrödinger Bridges Optimal Transport
Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving
May 12, 2026Shuo Xu, Jiakun Zhang, Junyu Lai +2Theorem Step-Level Supervision
Sobolev Regularized MMD Gradient Flow
May 12, 2026Chenyang Tian, Bharath K. Sriperumbudur, Arthur Gretton +1Maximum Mean Discrepancy Wasserstein Gradient Flows
Probabilistic Calibration Is a Trainable Capability in Language Models
May 12, 2026Davide Baldelli, Sruthi Kuriakose, Maryam Hashemzadeh +2Training Language Models Finetuning
One-Step Generative Modeling via Wasserstein Gradient Flows
May 12, 2026Jiaqi Han, Puheng Li, Qiushan Guo +3Discrete Diffusion Model Generative Models
Advanced Scientific Methodology Plays Rossini
May 12, 2026Silvia Licciardi, Daniela Macchione, Emmanuel Caronna +1Methodology Stylometric
A Mixture Autoregressive Image Generative Model on Quadtree Regions for Gaussian Noise Removal via Variational Bayes and Gradient Methods
May 12, 2026Shota Saito, Yuta Nakahara, Kohei Horinouchi +3Image Denoising Autoregressive Image Generation
JACoP: Joint Alignment for Compliant Multi-Agent Prediction
May 12, 2026Qingze Liu, Alen Mrdovic, Danrui Li +3Trajectory Prediction Collision-Free Trajectories
Causal Bias Detection in Generative Artificial Intelligence
May 12, 2026Drago PleckoGenerative Artificial Intelligence Causal Inferences
Gradient-Free Noise Optimization for Reward Alignment in Generative Models
May 12, 2026Jeongsol Kim, Hongeun Kim, Jian Wang +1Reward Gradients Gradient-Based Optimization
Structured Belief State and the First Precision-Aware Benchmark for LLM Memory Retrieval
May 11, 2026Jeffrey FlyntLarge Language Model Memory Generative
Rethinking external validation for the target population: Capturing patient-level similarity with a generative model
May 11, 2026Mohammad Azizmalayeri, Ameen Abu-Hanna, Saskia Houterman +2Cross Validation Populations

May 14, 2026 · cs.LGJ/K move · Enter open · S save

Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets

Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer, Joan Giner-Miguelez+16

Technical University of Munich · Massachusetts Institute of Technology · Helmholtz Munich · Barcelona Supercomputing Center · Google

Croissant has emerged as the metadata standard for machine learning datasets, providing a structured, JSON-LD-based format that makes dataset discovery, automated ingestion, and reproducible analysis machine-checkable across ML platforms. Adoption has accelerated, and NeurIPS now requires Croissant metadata in every submission to its dataset tracks. Yet in practice Croissant generation usually starts with uploading data to a public platform, a path infeasible for governed and large local repositories that hold much of the high-value data ML increasingly relies on. We release Croissant Baker, a local-first, open-source command-line tool that generates validated Croissant metadata directly from a dataset directory through a modular handler registry. We evaluate Croissant Baker on over 140 datasets, scaling to MIMIC-IV at 886 million rows and 374 Parquet files. On held-out comparisons against producer-authored or standards-derived ground truth, Croissant Baker reaches 97-100% agreement across multiple domains.

Benchmark Datasets Metadata Machine Learning Taco Data Generation Governed Modular Framework

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