From Variational to Deterministic Autoencoders

29 March 2019

Papers citing "From Variational to Deterministic Autoencoders"

50 / 164 papers shown

Title
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 33 10 0 01 Jan 2023
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries Aryan Pedawi P. Gniewek Chao-Ling Chang Brandon M. Anderson H. V. D. Bedem 34 5 0 19 Oct 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 55 38 0 29 Sep 2022
Oracle Analysis of Representations for Deep Open Set Detection Risheek Garrepalli AAML 62 5 0 22 Sep 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 58 15 0 19 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 32 21 0 15 Sep 2022
Latent Preserving Generative Adversarial Network for Imbalance classification T. Dam Md Meftahul Ferdaus Mahardhika Pratama S. Anavatti Senthilnath Jayavelu H. Abbass 27 6 0 04 Sep 2022
Large-Scale Auto-Regressive Modeling Of Street Networks Michael Birsak Tom Kelly W. Para Peter Wonka GNN AI4TS 9 5 0 01 Sep 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 33 10 0 27 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 19 1 0 20 Aug 2022
Hyper-Representations for Pre-Training and Transfer Learning Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 22 10 0 22 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 30 31 0 13 Jul 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross G. Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 33 2 0 22 Jun 2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy E. Uchibe 23 3 0 21 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 34 28 0 16 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 27 31 0 10 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 21 26 0 09 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 35 19 0 06 Jun 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 21 2 0 19 May 2022
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization Yuhta Takida Takashi Shibuya Wei-Hsiang Liao Chieh-Hsin Lai Junki Ohmura Toshimitsu Uesaka Naoki Murata Shusuke Takahashi Toshiyuki Kumakura Yuki Mitsufuji BDL 21 60 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 Juntao Li Ping Li 24 50 0 13 May 2022
Physics-aware Reduced-order Modeling of Transonic Flow via $β$ -Variational Autoencoder Yu-Eop Kang Sunwoong Yang K. Yee DRL AI4CE 19 25 0 02 May 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 19 28 0 14 Apr 2022
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation Huaxing Huang Guijie Zhu Zhun Fan Hao Zhai Yuwei Cai Zekun Shi Zhaohui Dong Zhifeng Hao 23 11 0 05 Mar 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 28 2 0 01 Mar 2022
Multi-modal data generation with a deep metric variational autoencoder Josefine Vilsbøll Sundgaard Morten Rieger Hannemose S. Laugesen P. Bray J. Harte Y. Kamide Chiemi Tanaka Rasmus Paulsen Anders Christensen DRL 13 3 0 07 Feb 2022
Enhancing variational generation through self-decomposition Andrea Asperti Laura Bugo Daniele Filippini DRL 46 2 0 06 Feb 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 28 114 0 02 Jan 2022
InvGAN: Invertible GANs Partha Ghosh Dominik Zietlow Michael J. Black Larry S. Davis Xiaochen Hu DiffM 29 7 0 08 Dec 2021
Probabilistic Tracking with Deep Factors F. Jiang Andrew Marmon Ildebrando De Courten M. Rasi F. Dellaert 29 1 0 02 Dec 2021
Forward Operator Estimation in Generative Models with Kernel Transfer Operators Z. Huang Rudrasis Chakraborty Vikas Singh GAN 14 3 0 01 Dec 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 32 19 0 25 Nov 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 34 1 0 23 Oct 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE Devansh Arpit Aadyot Bhatnagar Huan Wang Caiming Xiong 18 0 0 19 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 23 8 0 11 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 16 2 0 02 Oct 2021
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 35 6 0 28 Sep 2021
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images Farzin Soleymani M. Eslami T. Elze B. Bischl Mina Rezaei 22 5 0 22 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 28 1 0 22 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 27 3 0 11 Sep 2021
Sentence Bottleneck Autoencoders from Transformer Language Models Ivan Montero Nikolaos Pappas Noah A. Smith AI4CE 19 28 0 31 Aug 2021
Discriminating modelling approaches for Point in Time Economic Scenario Generation Rui Wang 11 0 0 19 Aug 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation Wentao Bao Qi Yu Yu Kong FAtt 27 39 0 21 Jul 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE Qingzhong Ai Lirong He Shiyu Liu Zenglin Xu BDL 11 2 0 20 Jul 2021
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation Yahui Liu E. Sangineto Yajing Chen Linchao Bao Haoxian Zhang N. Sebe Bruno Lepri Wei Wang Marco De Nadai DRL 38 44 0 16 Jun 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 23 12 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation Haresh Karnan Garrett A. Warnell Xuesu Xiao Peter Stone 22 57 0 19 May 2021