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Diagnosing and Enhancing VAE Models

14 March 2019

Papers citing "Diagnosing and Enhancing VAE Models"

50 / 242 papers shown

Title
Multi-modal Latent Diffusion Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 98 13 0 07 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 64 4 0 05 Jun 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization Shohei Taniguchi Masahiro Suzuki Yusuke Iwasawa Yutaka Matsuo SyDa 84 2 0 31 May 2023
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model Zhixian Wang Qingsong Wen Chaoli Zhang Liang Sun Yi Wang DiffM 73 5 0 31 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 128 4 0 30 May 2023
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 97 27 0 19 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu Alexander Powers R. Dror Stefano Ermon J. Leskovec DiffM AI4CE 160 151 0 02 May 2023
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 55 2 0 21 Apr 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 109 7 0 27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 80 0 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 63 7 0 23 Mar 2023
Learning Manifold Dimensions with Conditional Variational Autoencoders Yijia Zheng Tong He Yixuan Qiu David Wipf DRL 88 21 0 23 Feb 2023
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation SeungHwan An Jong-June Jeon DRL 155 8 0 22 Feb 2023
Shortcut Detection with Variational Autoencoders Nicolas Müller Simon Roschmann Shahbaz Khan Philip Sperl Konstantin Böttinger AAML DRL 72 2 0 08 Feb 2023
GAMMA: Generative Augmentation for Attentive Marine Debris Detection Vaishnavi Khindkar Janhavi Khindkar ViT 64 1 0 07 Dec 2022
Improving Molecule Properties Through 2-Stage VAE Chenghui Zhou Barnabás Póczós DRL 78 1 0 06 Dec 2022
Denoising Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 102 5 0 30 Nov 2022
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 90 1 0 22 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 93 23 0 19 Nov 2022
On the failure of variational score matching for VAE models W. K. Li DRL 42 2 0 24 Oct 2022
Gaussian-Bernoulli RBMs Without Tears Renjie Liao Simon Kornblith Mengye Ren David J. Fleet Geoffrey E. Hinton BDL OOD 47 13 0 19 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 75 5 0 18 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 112 1 0 12 Oct 2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds Michael Puthawala Matti Lassas Ivan Dokmanić Pekka Pankka Maarten V. de Hoop MedIm 70 0 0 02 Oct 2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li Jana Fragemann Seyed-Ahmad Ahmadi Jens Kleesiek Jan Egger DRL 65 5 0 29 Sep 2022
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders Lisa Bonheme M. Grzes DRL 86 6 0 26 Sep 2022
Continuous Mixtures of Tractable Probabilistic Models Alvaro H. C. Correia G. Gala Erik Quaeghebeur Cassio de Campos Robert Peharz TPM 87 18 0 21 Sep 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 104 15 0 19 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 93 24 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 91 12 0 15 Sep 2022
3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation Junshu Tang Bo Zhang Binxin Yang Ting Zhang Dong Chen Lizhuang Ma Fang Wen 3DH 96 19 0 12 Sep 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch Francois Bremond A. Dantcheva 118 49 0 19 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play Taeyoon Lee D. Sung Kyoung-Whan Choi Choong-Keun Lee Changwoo Park Keunjun Choi 88 3 0 28 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 74 13 0 14 Jul 2022
Big Learning Yulai Cong Miaoyun Zhao AI4CE 94 0 0 08 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell Gabriel Loaiza-Ganem 137 43 0 06 Jul 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross Gabriel Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 73 3 0 22 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 98 30 0 16 Jun 2022
Explainable AI for High Energy Physics Mark S. Neubauer Avik Roy 78 10 0 14 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 98 85 0 07 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 98 21 0 06 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder Jie Shi Chenfei Wu Jian Liang Xiang Liu Nan Duan DiffM 76 26 0 01 Jun 2022
RENs: Relevance Encoding Networks Krithika S. Iyer Riddhish Bhalodia Shireen Y. Elhabian DRL 118 1 0 25 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 125 14 0 23 May 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 76 2 0 19 May 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 100 10 0 17 May 2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models Xiaoting Shao Kristian Kersting BDL 56 1 0 16 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Jilong Li Ping Li 88 50 0 13 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 82 6 0 06 May 2022
End-to-End Visual Editing with a Generatively Pre-Trained Artist A. Brown Cheng-Yang Fu Omkar M. Parkhi Tamara L. Berg Andrea Vedaldi DiffM 89 8 0 03 May 2022