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Decision-Making with Auto-Encoding Variational Bayes
v1v2v3 (latest)

Decision-Making with Auto-Encoding Variational Bayes

17 February 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
    BDL
ArXiv (abs)PDFHTML

Papers citing "Decision-Making with Auto-Encoding Variational Bayes"

50 / 3,707 papers shown
Title
Interpretable Few-shot Learning with Online Attribute Selection
Interpretable Few-shot Learning with Online Attribute Selection
M. Zarei
Majid Komeili
FAtt
100
3
0
16 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion
  Model
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
Xingqian Xu
Zhangyang Wang
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
147
198
0
15 Nov 2022
Build generally reusable agent-environment interaction models
Build generally reusable agent-environment interaction models
Jun Jin
Hongming Zhang
Jun Luo
44
0
0
13 Nov 2022
Energy-Based Residual Latent Transport for Unsupervised Point Cloud
  Completion
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion
Rui-Qing Cui
Shi Qiu
Saeed Anwar
Jing Zhang
Nick Barnes
DiffM
75
11
0
13 Nov 2022
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
Taehoon Kim
Mark A Marsden
Pyunghwan Ahn
Sangyun Kim
Sihaeng Lee
Alessandra Sala
S. Kim
VLM
62
4
0
13 Nov 2022
Semi-supervised Variational Autoencoder for Regression: Application on
  Soft Sensors
Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors
Yilin Zhuang
Zhuobin Zhou
Burak Alakent
Mehmet Mercangöz
DRL
55
0
0
11 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
Xuan Rao
Bo Zhao
Xiaosong Yi
83
4
0
11 Nov 2022
Deep Learning for Time Series Anomaly Detection: A Survey
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban
G. I. Webb
Shirui Pan
Charu C. Aggarwal
Mahsa Salehi
AI4TS
84
156
0
09 Nov 2022
Grasp Learning: Models, Methods, and Performance
Grasp Learning: Models, Methods, and Performance
Robert Platt
92
24
0
09 Nov 2022
Physics-informed inference of aerial animal movements from weather radar
  data
Physics-informed inference of aerial animal movements from weather radar data
Fiona Lippert
Bart Kranstauber
E. E. V. Loon
Patrick Forré
50
1
0
08 Nov 2022
Toward Adaptive Semantic Communications: Efficient Data Transmission via
  Online Learned Nonlinear Transform Source-Channel Coding
Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Coding
Jincheng Dai
Sixian Wang
Ke Yang
Kailin Tan
Xiaoqi Qin
Zhongwei Si
K. Niu
Ping Zhang
56
25
0
08 Nov 2022
Learning Semantic Textual Similarity via Topic-informed Discrete Latent
  Variables
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
Erxin Yu
Lan Du
Yuan Jin
Zhepei Wei
Yi-Ju Chang
BDL
44
7
0
07 Nov 2022
Generative Transformers for Design Concept Generation
Generative Transformers for Design Concept Generation
Qihao Zhu
Jianxi Luo
AI4CE
76
49
0
07 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video
  Manipulation
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Levent Karacan
Tolga Kerimouglu
.Ismail .Inan
Tolga Birdal
Erkut Erdem
Aykut Erdem
88
1
0
05 Nov 2022
Contrastive Learning for Diverse Disentangled Foreground Generation
Contrastive Learning for Diverse Disentangled Foreground Generation
Yuheng Li
Yijun Li
Jingwan Lu
Eli Shechtman
Yong Jae Lee
Krishna Kumar Singh
69
7
0
04 Nov 2022
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the
  Cost-Performance Tradeoff
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
Zhenwei Zhu
Liying Yang
Xuxin Lin
Chao Jiang
Ningchi Li
Lin Yang
Yanyan Liang
3DPC3DH3DV
72
18
0
04 Nov 2022
Federated Hypergradient Descent
Federated Hypergradient Descent
A. K. Kan
FedML
84
3
0
03 Nov 2022
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised
  Knowledge-Grounded Conversation
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
Yanyang Li
Jianqiao Zhao
Michael R. Lyu
Liwei Wang
60
16
0
03 Nov 2022
A weighted-variance variational autoencoder model for speech enhancement
A weighted-variance variational autoencoder model for speech enhancement
A. Golmakani
M. Sadeghi
Xavier Alameda-Pineda
Romain Serizel
66
1
0
02 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng
Kristy Choi
Jiaming Song
Stefano Ermon
DiffM
253
71
0
02 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
215
615
0
02 Nov 2022
Learning utterance-level representations through token-level acoustic
  latents prediction for Expressive Speech Synthesis
Learning utterance-level representations through token-level acoustic latents prediction for Expressive Speech Synthesis
Karolos Nikitaras
Konstantinos Klapsas
Nikolaos Ellinas
Georgia Maniati
June Sig Sung
Inchul Hwang
S. Raptis
Aimilios Chalamandaris
Pirros Tsiakoulis
48
1
0
01 Nov 2022
The future is different: Large pre-trained language models fail in
  prediction tasks
The future is different: Large pre-trained language models fail in prediction tasks
K. Cvejoski
Ramses J. Sanchez
C. Ojeda
87
4
0
01 Nov 2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual
  Anomaly Detector
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
Haiming Yao
Xue Wang
Wenyong Yu
87
9
0
01 Nov 2022
ImagineNET: Target Speaker Extraction with Intermittent Visual Cue
  through Embedding Inpainting
ImagineNET: Target Speaker Extraction with Intermittent Visual Cue through Embedding Inpainting
Zexu Pan
Wupeng Wang
Marvin Borsdorf
Haizhou Li
76
12
0
31 Oct 2022
Disentangled (Un)Controllable Features
Disentangled (Un)Controllable Features
Jacob E. Kooi
Mark Hoogendoorn
Vincent François-Lavet
DRL
53
0
0
31 Oct 2022
A robust estimator of mutual information for deep learning
  interpretability
A robust estimator of mutual information for deep learning interpretability
Davide Piras
H. Peiris
A. Pontzen
Luisa Lucie-Smith
Ningyuan Guo
Brian D. Nord
SSLDRL
84
17
0
31 Oct 2022
Variational Inference Aided Estimation of Time Varying Channels
Variational Inference Aided Estimation of Time Varying Channels
Benedikt Bock
Michael Baur
Valentina Rizzello
Wolfgang Utschick
43
6
0
31 Oct 2022
Real-Time MRI Video synthesis from time aligned phonemes with
  sequence-to-sequence networks
Real-Time MRI Video synthesis from time aligned phonemes with sequence-to-sequence networks
Sathvik Udupa
P. Ghosh
MedIm
20
5
0
30 Oct 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Kiarash Zahirnia
Oliver Schulte
Parmis Naddaf
Ke Li
86
10
0
30 Oct 2022
A Survey on Causal Representation Learning and Future Work for Medical
  Image Analysis
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Chang-Tien Lu
OODBDLCMLMedIm
107
0
0
28 Oct 2022
Period VITS: Variational Inference with Explicit Pitch Modeling for
  End-to-end Emotional Speech Synthesis
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis
Yuma Shirahata
Ryuichi Yamamoto
Eunwoo Song
Ryo Terashima
Jae-Min Kim
Kentaro Tachibana
86
11
0
28 Oct 2022
DPVIm: Differentially Private Variational Inference Improved
DPVIm: Differentially Private Variational Inference Improved
Hibiki Ito
Lukas Prediger
Antti Honkela
Samuel Kaski
78
3
0
28 Oct 2022
Multiresolution Signal Processing of Financial Market Objects
Multiresolution Signal Processing of Financial Market Objects
Ioana Boier
21
2
0
28 Oct 2022
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
Ke Wang
Peijun Qing
Yongqian Li
H. Lu
Xiaodong Lin
106
30
0
27 Oct 2022
Synthesizer Preset Interpolation using Transformer Auto-Encoders
Synthesizer Preset Interpolation using Transformer Auto-Encoders
G. Vaillant
Thierry Dutoit
39
3
0
27 Oct 2022
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech
  Enhancement
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement
Ryosuke Sawata
Naoki Murata
Yuhta Takida
Toshimitsu Uesaka
Takashi Shibuya
Shusuke Takahashi
Yuki Mitsufuji
DiffM
80
17
0
27 Oct 2022
Learning Variational Motion Prior for Video-based Motion Capture
Learning Variational Motion Prior for Video-based Motion Capture
Xin Chen
Zhuo Su
Lingbo Yang
Pei Cheng
Lan Xu
Bin-Bin Fu
Gang Yu
96
15
0
27 Oct 2022
Leveraging Demonstrations with Latent Space Priors
Leveraging Demonstrations with Latent Space Priors
Jonas Gehring
Deepak Gopinath
Jungdam Won
Andreas Krause
Gabriel Synnaeve
Nicolas Usunier
65
6
0
26 Oct 2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic
  Representations
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie
Changqi Wang
Mingkai Zheng
Minjing Dong
Shan You
Chong Fu
Chang Xu
SSL
69
15
0
26 Oct 2022
Adversarial Purification with the Manifold Hypothesis
Adversarial Purification with the Manifold Hypothesis
Zhaoyuan Yang
Zhiwei Xu
Jing Zhang
Leonid Sigal
Peter Tu
AAML
86
5
0
26 Oct 2022
SepLL: Separating Latent Class Labels from Weak Supervision Noise
SepLL: Separating Latent Class Labels from Weak Supervision Noise
Andreas Stephan
Vasiliki Kougia
Benjamin Roth
46
8
0
25 Oct 2022
From Points to Functions: Infinite-dimensional Representations in
  Diffusion Models
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal
Guillaume Lajoie
Stefan Bauer
Arash Mehrjou
DiffM
93
30
0
25 Oct 2022
Disentangled Speech Representation Learning for One-Shot Cross-lingual
  Voice Conversion Using $β$-VAE
Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using βββ-VAE
Hui Lu
Disong Wang
Xixin Wu
Zhiyong Wu
Xunying Liu
Helen M. Meng
DRL
115
9
0
25 Oct 2022
Evaluating Long-Term Memory in 3D Mazes
Evaluating Long-Term Memory in 3D Mazes
J. Pašukonis
Timothy Lillicrap
Danijar Hafner
3DV
85
23
0
24 Oct 2022
Spiking Variational Graph Auto-Encoders for Efficient Graph
  Representation Learning
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning
Hanxuan Yang
Ruike Zhang
Qingchao Kong
Wenji Mao
GNN
52
3
0
24 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural
  Networks
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang
Qitian Wu
Junchi Yan
65
28
0
24 Oct 2022
Item-based Variational Auto-encoder for Fair Music Recommendation
Item-based Variational Auto-encoder for Fair Music Recommendation
Jinhyeok Park
Dain Kim
Dongwoo Kim
DRL
46
2
0
24 Oct 2022
Heterogeneous Information Crossing on Graphs for Session-based
  Recommender Systems
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems
Xiaolin Zheng
Rui Wu
Zhongxuan Han
Chaochao Chen
Lin Chen
Bing Han
62
8
0
24 Oct 2022
Unsupervised Object Representation Learning using Translation and
  Rotation Group Equivariant VAE
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri
Tristan Bepler
DRL
50
13
0
24 Oct 2022
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