An Introduction to Deep Generative Modeling

9 March 2021

Papers citing "An Introduction to Deep Generative Modeling"

50 / 75 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 29 0 0 10 May 2025
UNet with Axial Transformer : A Neural Weather Model for Precipitation Nowcasting Maitreya Sonawane Sumit Mamtani 65 0 0 28 Apr 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data Siddharth Rout Eldad Haber Stéphane Gaudreault AI4TS AI4CE 60 0 0 15 Mar 2025
Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields Alexandra E. Ballentine Raghvendra V. Cowlagi 38 0 0 09 Mar 2025
Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems? Evan Scope Crafts Umberto Villa 44 0 0 04 Mar 2025
A Review of Human Emotion Synthesis Based on Generative Technology Fei Ma Y. Li Yifan Xie Y. He Y. Zhang ... Z. Liu Wei Yao Fuji Ren Fei Richard Yu Shiguang Ni 76 1 0 10 Dec 2024
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference Kendong Liu Zhiyu Zhu Chuanhao Li Hui Liu H. Zeng Junhui Hou EGVM 38 2 0 29 Oct 2024
Dimension reduction via score ratio matching Ricardo Baptista Michael C. Brennan Youssef Marzouk 21 1 0 25 Oct 2024
Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport Zhanpeng Wang Shenghao Li Chen Wang Shuting Cao Na Lei Zhongxuan Luo OT 19 0 0 17 Oct 2024
DFM: Interpolant-free Dual Flow Matching Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata AI4CE 32 0 0 11 Oct 2024
Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation Haadia Amjad Kilian Goeller Steffen Seitz Carsten Knoll Naseer Bajwa R. Tetzlaff Muhammad Imran Malik 47 0 0 08 Oct 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 39 3 0 09 Sep 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 30 1 0 29 Jul 2024
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation Zhiqiang Cai Yu Cao Yuanfei Huang Xiang Zhou DiffM 53 0 0 29 May 2024
PhonologyBench: Evaluating Phonological Skills of Large Language Models Ashima Suvarna Harshita Khandelwal Nanyun Peng LM&MA 29 2 0 03 Apr 2024
Adaptive LPD Radar Waveform Design with Generative Deep Learning Matthew R. Ziemann Christopher A. Metzler 19 0 0 18 Mar 2024
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition Xiaozhou Ye Kevin I-Kai Wang HAI 17 1 0 12 Mar 2024
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images Cristiana Tiago S. Snare Jurica Šprem K. Mcleod DiffM MedIm 31 9 0 07 Mar 2024
Transfer learning with generative models for object detection on limited datasets Matteo Paiano Stefano Martina Carlotta Giannelli Filippo Caruso 37 3 0 09 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 28 3 0 25 Jan 2024
Prompt Smells: An Omen for Undesirable Generative AI Outputs Krishna Ronanki Beatriz Cabrero-Daniel Christian Berger 25 2 0 23 Jan 2024
Differential Equations for Continuous-Time Deep Learning Lars Ruthotto AI4TS AI4CE SyDa BDL 30 7 0 08 Jan 2024
Short-Time Fourier Transform for deblurring Variational Autoencoders Vibhu Dalal 35 0 0 06 Jan 2024
Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures Charles Miranda Janina Enrica Schutte David Sommer Martin Eigel 26 3 0 06 Nov 2023
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model Yingkai Sha R. Sobash David John Gagne 11 0 0 09 Oct 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 54 8 0 22 Sep 2023
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement Wen Wang Dongchao Yang Qichen Ye Bowen Cao Yuexian Zou DiffM 32 3 0 03 Sep 2023
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport Zhe Xiong Qiaoqiao Ding Xiaoqun Zhang OOD 13 0 0 26 Aug 2023
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series Jan-Philipp Roche Oliver Niggemann J. Friebe 9 2 0 21 Aug 2023
AI planning in the imagination: High-level planning on learned abstract search spaces Carlos Martin T. Sandholm 29 0 0 16 Aug 2023
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 25 18 0 13 Aug 2023
Leveraging Variational Autoencoders for Parameterized MMSE Estimation Michael Baur B. Fesl Wolfgang Utschick 11 8 0 11 Jul 2023
A generative flow for conditional sampling via optimal transport Jason Alfonso Ricardo Baptista Anupam Bhakta Noam Gal Alfin Hou I. Lyubimova Daniel Pocklington Josef Sajonz G. Trigila Ryan Tsai OT 19 5 0 09 Jul 2023
On Certified Generalization in Structured Prediction Bastian Boll Christoph Schnörr 21 0 0 15 Jun 2023
Combining Monte Carlo and Tensor-network Methods for Partial Differential Equations via Sketching Yian Chen Y. Khoo 15 1 0 29 May 2023
Spiking Generative Adversarial Network with Attention Scoring Decoding Linghao Feng Dongcheng Zhao Yi Zeng 38 8 0 17 May 2023
Diffusion map particle systems for generative modeling Fengyi Li Youssef Marzouk DiffM 13 4 0 01 Apr 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification Rafael Orozco M. Louboutin Ali Siahkoohi G. Rizzuti Tristan van Leeuwen Felix J. Herrmann OOD 22 12 0 06 Mar 2023
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization Alex Morehead Jianlin Cheng DiffM 14 22 0 08 Feb 2023
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization Kaitlin Gili Rohan S. Kumar Mykolas Sveistrys C. Ballance 32 3 0 01 Feb 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 19 3 0 29 Jan 2023
ApproxED: Approximate exploitability descent via learned best responses Carlos Martin T. Sandholm 24 0 0 20 Jan 2023
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions M. Fallahian Mohsen Dorodchi Kyle Kreth 15 7 0 18 Dec 2022
Criterion for the resemblance between the mother and the model distribution Y. Sheena 11 0 0 07 Dec 2022
Denoising diffusion probabilistic models for probabilistic energy forecasting Esteban Hernandez Capel Jonathan Dumas DiffM 11 15 0 06 Dec 2022
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information Xudong Kang H. Xie Man-Leung Wong J. Qin 28 0 0 05 Dec 2022
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme Alexander Vidal Samy Wu Fung Luis Tenorio Stanley Osher L. Nurbekyan 25 15 0 30 Nov 2022
Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics C. Granero-Belinchón 20 4 0 21 Nov 2022
Cover Reproducible Steganography via Deep Generative Models Kejiang Chen Hang Zhou Yaofei Wang Meng Li Weiming Zhang Neng H. Yu DiffM 23 9 0 26 Oct 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance Margaret Duff Ivor J. A. Simpson Matthias Joachim Ehrhardt Neill D. F. Campbell DiffM MedIm 9 5 0 26 Oct 2022