conftrace_
← Models
Deep Learning › Models ›

Generative Models

6,381 papers

Papers per year

11
34
626
824
'10
'15
'20
'25

Papers

Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023
Euler-Lagrange Analysis of Generative Adversarial Networks JMLR 2023
GFlowNet Foundations JMLR 2023
GANs as Gradient Flows that Converge JMLR 2023
Universal Approximation Property of Invertible Neural Networks JMLR 2023
Learning Conditional Generative Models for Phase Retrieval JMLR 2023
MAUVE Scores for Generative Models: Theory and Practice JMLR 2023
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization L4DC 2023
Benchmarking Rigid Body Contact Models L4DC 2023
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses MIDL 2023
CP2Image: Generating high-quality single-cell images using CellProfiler representations MIDL 2023
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging MIDL 2023
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs MIDL 2023
Few Shot Hematopoietic Cell Classification MIDL 2023
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints MIDL 2023
DBGSL: Dynamic Brain Graph Structure Learning MIDL 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model MIDL 2023
A comparative evaluation of image-to-image translation methods for stain transfer in histopathology MIDL 2023
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023
PrivECG: generating private ECG for end-to-end anonymization MLHC 2023
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires MLHC 2023
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models MLHC 2023
GenAug: Retargeting behaviors to unseen situations via Generative Augmentation RSS 2023
Integrated Object Deformation and Contact Patch Estimation from Visuo-Tactile Feedback RSS 2023
University of Hildesheim at SemEval-2023 Task 1: Combining Pre-trained Multimodal and Generative Models for Image Disambiguation SEMEVAL 2023