From Variational to Deterministic Autoencoders

29 March 2019

Papers citing "From Variational to Deterministic Autoencoders"

50 / 164 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 88 0 0 24 Apr 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 52 0 0 27 Mar 2025
Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions Surojit Saha Sarang Joshi Ross T. Whitaker DRL 80 1 0 28 Jan 2025
Unity by Diversity: Improved Representation Learning in Multimodal VAEs Thomas M. Sutter Yang Meng Andrea Agostini Daphné Chopard Norbert Fortin Julia E. Vogt Bahbak Shahbaba Stephan Mandt SSL 54 2 0 08 Jan 2025
Comparison of Generative Learning Methods for Turbulence Modeling Claudia Drygala Edmund Ross F. Mare Hanno Gottschalk AI4CE 66 0 0 25 Nov 2024
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation Olga Glazunova Cecile J. A. Wolfs Frank Verhaegen MedIm 24 0 0 17 Sep 2024
Entropy-Informed Weighting Channel Normalizing Flow Wei Chen Shian Du Shigui Li Delu Zeng John Paisley 37 0 0 06 Jul 2024
Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement Jiafan Zhuang Zihao Xia Gaofei Han Boxi Wang Wenji Li Dongliang Wang Zhifeng Hao Ruichu Cai Zhun Fan CML 26 0 0 04 Jul 2024
Uniform Transformation: Refining Latent Representation in Variational Autoencoders Ye Shi C. S. G. Lee OOD DRL 27 0 0 02 Jul 2024
Latent Diffusion for Neural Spiking Data J. Kapoor Auguste Schulz Julius Vetter Felix Pei Richard Gao Jakob H. Macke DiffM 38 2 0 27 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks Victor Boutin Rishav Mukherji Aditya Agrawal Sabine Muzellec Thomas Fel Thomas Serre Rufin VanRullen DiffM 37 0 0 10 Jun 2024
Compressing Latent Space via Least Volume Qiuyi Chen M. Fuge 35 1 0 27 Apr 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 24 4 0 16 Mar 2024
Pooling Image Datasets With Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas Vishnu Suresh Lokhande Peiran Li Vikas Singh OOD 35 0 0 05 Mar 2024
PIXAR: Auto-Regressive Language Modeling in Pixel Space Yintao Tai Xiyang Liao Alessandro Suglia Antonio Vergari MLLM 26 7 0 06 Jan 2024
Learning Energy-based Model via Dual-MCMC Teaching Jiali Cui Tian Han 24 10 0 05 Dec 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 34 4 0 13 Nov 2023
Conditional Unscented Autoencoders for Trajectory Prediction Faris Janjos Marcel Hallgarten Anthony Knittel Maxim Dolgov Andreas Zell J. Marius Zöllner 37 7 0 30 Oct 2023
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights Alokendu Mazumder Tirthajit Baruah Bhartendu Kumar Rishab Sharma Vishwajeet Pattanaik Punit Rathore 16 0 0 24 Oct 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior Jiali Cui Ying Nian Wu Tian Han BDL 36 6 0 14 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 32 4 0 11 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 29 12 0 05 Oct 2023
Generative Autoencoding of Dropout Patterns Shunta Maeda SyDa 8 1 0 03 Oct 2023
Using AI Uncertainty Quantification to Improve Human Decision-Making L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu 24 3 0 19 Sep 2023
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 30 1 0 18 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Xiaozhong Liu 78 31 0 27 Aug 2023
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts Aymene Mohammed Bouayed Adrian Iaccovelli D. Naccache 33 0 0 21 Aug 2023
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference Ahmad Ayaz Amin BDL DRL 16 0 0 15 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 30 4 0 12 Jul 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 18 3 0 05 Jul 2023
Geometric Autoencoders -- What You See is What You Decode Philipp Nazari Sebastian Damrich Fred Hamprecht 30 12 0 30 Jun 2023
Semi-supervised Multimodal Representation Learning through a Global Workspace Benjamin Devillers Léopold Maytié R. V. Rullen SSL 24 5 0 27 Jun 2023
Happy People -- Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models Steffen Jung Jan Christian Schwedhelm C. Schillings M. Keuper 31 1 0 11 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 16 8 0 10 Jun 2023
Unscented Autoencoder Faris Janjos Lars Rosenbaum Maxim Dolgov J. Marius Zöllner 21 2 0 08 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 26 8 0 02 Jun 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Emanuele Marconato Stefano Teso Antonio Vergari Andrea Passerini 38 30 0 31 May 2023
Variational Classification S. Dhuliawala Mrinmaya Sachan Carl Allen BDL 28 5 0 17 May 2023
Reconstructing Animatable Categories from Videos Gengshan Yang Chaoyang Wang Dinesh Reddy Narapureddy Deva Ramanan 33 37 0 10 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu Alexander Powers R. Dror Stefano Ermon J. Leskovec DiffM AI4CE 58 135 0 02 May 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 43 5 0 06 Apr 2023
Fully Variational Noise-Contrastive Estimation Christopher Zach BDL DRL 14 2 0 04 Apr 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 27 11 0 03 Apr 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 41 10 0 28 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 29 507 0 07 Mar 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 35 26 0 04 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 26 1 0 31 Jan 2023
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning Hong-Bo Xie Caoyuan Li Shuliang Wang R. Xu Kerrie Mengersen 14 0 0 18 Jan 2023
Simplex Autoencoders Aymene Mohammed Bouayed D. Naccache SyDa 22 0 0 16 Jan 2023