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Generative Models

197 directly classified papers

Papers per year

Papers

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation CVPR 2025
Deep Generative Model for Mechanical System Configuration Design AAAI 2025
Flow Factorization for Efficient Generative Flow Networks AAAI 2025
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation AAAI 2025
Generating Synthetic Relational Tabular Data via Structural Causal Models ACL 2025
Population Aware Diffusion for Time Series Generation AAAI 2025
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization NIPS 2024
TFG: Unified Training-Free Guidance for Diffusion Models NIPS 2024
Full-Atom Peptide Design with Geometric Latent Diffusion NIPS 2024
Generative Fractional Diffusion Models NIPS 2024
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions NIPS 2024
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract) AAAI 2024
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024
Scalable Motion Style Transfer with Constrained Diffusion Generation AAAI 2024
Generative-Based Fusion Mechanism for Multi-Modal Tracking AAAI 2024
Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024
Quality-Diversity Generative Sampling for Learning with Synthetic Data AAAI 2024
Discriminator Guidance for Autoregressive Diffusion Models AISTATS 2024
Shallow Diffusion for Fast Speech Enhancement (Student Abstract) AAAI 2024
Towards Editing Time Series NIPS 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024
Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data ACL 2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler NIPS 2024