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Decision-Making with Auto-Encoding Variational Bayes

Decision-Making with Auto-Encoding Variational Bayes

17 February 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
    BDL
ArXivPDFHTML

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

50 / 512 papers shown
Title
Bayesian Comparisons Between Representations
Bayesian Comparisons Between Representations
Heiko H. Schütt
FAtt
411
0
0
13 Nov 2024
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
Niklas Hanselmann
Simon Doll
Marius Cordts
Hendrik P. A. Lensch
Andreas Geiger
65
0
0
12 Nov 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
370
0
0
11 Nov 2024
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
91
1
0
11 Nov 2024
KMM: Key Frame Mask Mamba for Extended Motion Generation
KMM: Key Frame Mask Mamba for Extended Motion Generation
Zeyu Zhang
Hang Gao
Akide Liu
Qi Chen
Feng Chen
...
Hao Tang
Zhenming Li
Zhongwen Zhou
Hao Tang
Bohan Zhuang
Mamba
VGen
76
3
0
10 Nov 2024
Diffusion Sampling Correction via Approximately 10 Parameters
Diffusion Sampling Correction via Approximately 10 Parameters
Guangyi Wang
Wei Peng
Lijiang Li
Wenyu Chen
Yuren Cai
Songzhi Su
DiffM
54
0
0
10 Nov 2024
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Ezgi Demircan-Tureyen
F. Lucka
Tristan van Leeuwen
DiffM
109
0
0
09 Nov 2024
Few-Shot Task Learning through Inverse Generative Modeling
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
83
4
0
07 Nov 2024
Debiasing Synthetic Data Generated by Deep Generative Models
Debiasing Synthetic Data Generated by Deep Generative Models
A. Decruyenaere
Heidelinde Dehaene
Paloma Rabaey
Christiaan Polet
Johan Decruyenaere
Thomas Demeester
S. Vansteelandt
AI4CE
48
0
0
06 Nov 2024
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
Tariq Berrada Ifriqi
Pietro Astolfi
Melissa Hall
Reyhane Askari Hemmat
Yohann Benchetrit
...
Matthew Muckley
Karteek Alahari
Adriana Romero Soriano
Jakob Verbeek
M. Drozdzal
AI4CE
VLM
99
3
0
05 Nov 2024
Your copula is a classifier in disguise: classification-based copula density estimation
Your copula is a classifier in disguise: classification-based copula density estimation
David Huk
Mark Steel
Ritabrata Dutta
120
0
0
05 Nov 2024
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality
Yiqin Zhao
Mallesham Dasari
Tian Guo
69
0
0
04 Nov 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
112
2
0
01 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross
Hamidreza Kamkari
Tongzi Wu
Rasa Hosseinzadeh
Zhaoyan Liu
George Stein
Jesse C. Cresswell
Gabriel Loaiza-Ganem
88
7
0
31 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Chong Chen
Daochang Liu
M. Shah
Chang Xu
113
4
0
29 Oct 2024
Batch, match, and patch: low-rank approximations for score-based variational inference
Batch, match, and patch: low-rank approximations for score-based variational inference
Chirag Modi
Diana Cai
Lawrence K. Saul
BDL
63
1
0
29 Oct 2024
Enhancing Learned Image Compression via Cross Window-based Attention
Enhancing Learned Image Compression via Cross Window-based Attention
Priyanka Mudgal
Feng Liu
42
0
0
28 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
411
0
0
28 Oct 2024
Noise-Aware Differentially Private Variational Inference
Noise-Aware Differentially Private Variational Inference
Talal Alrawajfeh
Hibiki Ito
Antti Honkela
90
0
0
25 Oct 2024
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation
Xiaoyu Zhang
Teng Zhou
Xinlong Zhang
Jia Wei
Yongchuan Tang
67
2
0
24 Oct 2024
The Scene Language: Representing Scenes with Programs, Words, and Embeddings
The Scene Language: Representing Scenes with Programs, Words, and Embeddings
Yunzhi Zhang
Zizhang Li
Mingyuan Zhou
Shangzhe Wu
Jiajun Wu
78
4
0
22 Oct 2024
Conjuring Semantic Similarity
Conjuring Semantic Similarity
Tian Yu Liu
Stefano Soatto
DiffM
96
0
0
21 Oct 2024
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
Finn Schmidt
Suhas Shrinivasan
Polina Turishcheva
Fabian H. Sinz
117
0
0
21 Oct 2024
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui
Chien-Yao Wang
H. Liao
ObjD
VLM
87
0
0
20 Oct 2024
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
Juyan Zhang
Dana Kulic
Michael Burke
49
0
0
18 Oct 2024
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
Jiaxin Lu
Yongqing Liang
Huijun Han
Jiacheng Hua
Junfeng Jiang
Xin Li
Qixing Huang
3DV
74
1
0
18 Oct 2024
In-context learning and Occam's razor
In-context learning and Occam's razor
Eric Elmoznino
Tom Marty
Tejas Kasetty
Léo Gagnon
Sarthak Mittal
Mahan Fathi
Dhanya Sridhar
Guillaume Lajoie
78
1
0
17 Oct 2024
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation
Hanbo Cheng
Limin Lin
Chenyu Liu
Pengcheng Xia
Pengfei Hu
Jiefeng Ma
Jun Du
Jia Pan
DiffM
VGen
349
0
0
17 Oct 2024
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
83
1
0
17 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers
Cliqueformer: Model-Based Optimization with Structured Transformers
J. Kuba
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
91
2
0
17 Oct 2024
One Step Diffusion via Shortcut Models
One Step Diffusion via Shortcut Models
Kevin Frans
Danijar Hafner
Sergey Levine
Pieter Abbeel
VLM
DiffM
81
35
0
16 Oct 2024
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
59
0
0
15 Oct 2024
Offline Model-Based Optimization by Learning to Rank
Offline Model-Based Optimization by Learning to Rank
Rong-Xi Tan
Ke Xue
Shen-Huan Lyu
Haopu Shang
Yao Wang
Yaoyuan Wang
Sheng Fu
Chao Qian
OffRL
89
2
0
15 Oct 2024
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
Fei Tang
Yongliang Shen
Hang Zhang
Zeqi Tan
Wenqi Zhang
Guiyang Hou
Kaitao Song
Weiming Lu
Yueting Zhuang
82
0
0
15 Oct 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Julius Aka
Johannes Brunnemann
Jörg Eiden
Arne Speerforck
Lars Mikelsons
47
0
0
14 Oct 2024
How to Backdoor Consistency Models?
How to Backdoor Consistency Models?
Chengen Wang
Murat Kantarcioglu
DiffM
AAML
340
1
0
14 Oct 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
C. Margossian
Lawrence K. Saul
64
1
0
14 Oct 2024
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
Qian Yu
Peng-Tao Jiang
Hao Zhang
Jinwei Chen
Bo Li
Lihe Zhang
Huchuan Lu
95
2
0
14 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa
Yuhta Takida
Masaaki Imaizumi
Hiromi Wakaki
Yuki Mitsufuji
DiffM
78
3
0
11 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Jiatao Gu
Yuyang Wang
Yizhe Zhang
Qihang Zhang
Dinghuai Zhang
Navdeep Jaitly
Josh Susskind
Shuangfei Zhai
DiffM
73
14
0
10 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Cristian Meo
Mircea Lica
Zarif Ikram
Akihiro Nakano
Vedant Shah
Aniket Didolkar
Dianbo Liu
Anirudh Goyal
Justin Dauwels
OffRL
90
0
0
10 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
Luckeciano C. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
98
0
0
10 Oct 2024
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
Jianxin Bi
Kelvin Lim
Kaiqi Chen
Yifei Huang
Harold Soh
55
1
0
10 Oct 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
I. Butakov
Alexander Sememenko
Alexander Tolmachev
Andrey Gladkov
Marina Munkhoeva
Alexey Frolov
97
1
0
09 Oct 2024
An Undetectable Watermark for Generative Image Models
An Undetectable Watermark for Generative Image Models
Sam Gunn
Xuandong Zhao
Dawn Song
WIGM
58
12
0
09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Sihang Li
Congcong Wen
Hui Lin
Xiang Wang
73
2
0
09 Oct 2024
Restructuring Vector Quantization with the Rotation Trick
Restructuring Vector Quantization with the Rotation Trick
Christopher Fifty
Ronald G. Junkins
Dennis Duan
Aniketh Iger
Jerry W. Liu
Ehsan Amid
Sebastian Thrun
Christopher Ré
LLMSV
78
12
0
08 Oct 2024
Training-free Diffusion Model Alignment with Sampling Demons
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh
Kuang-Huei Lee
Jun-Cheng Chen
61
5
0
08 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling
Pyramidal Flow Matching for Efficient Video Generative Modeling
Yang Jin
Zhicheng Sun
Ningyuan Li
Kun Xu
K. Xu
...
Nan Zhuang
Quzhe Huang
Yang Song
Yadong Mu
Zhouchen Lin
VGen
107
72
0
08 Oct 2024
Generating CAD Code with Vision-Language Models for 3D Designs
Generating CAD Code with Vision-Language Models for 3D Designs
Kamel Alrashedy
Pradyumna Tambwekar
Z. Zaidi
Megan Langwasser
Wei Xu
Matthew Gombolay
76
11
0
07 Oct 2024
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