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Latent Space Energy-based Neural ODEs

Latent Space Energy-based Neural ODEs

5 September 2024
Sheng Cheng
Deqian Kong
Jianwen Xie
Kookjin Lee
Ying Nian Wu
Yezhou Yang
    DiffM
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Papers citing "Latent Space Energy-based Neural ODEs"

28 / 28 papers shown
Title
Learning Hierarchical Features with Joint Latent Space Energy-Based
  Prior
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
Jiali Cui
Ying Nian Wu
Tian Han
BDL
46
6
0
14 Oct 2023
Molecule Design by Latent Prompt Transformer
Molecule Design by Latent Prompt Transformer
Deqian Kong
Yuhao Huang
Jianwen Xie
Ying Nian Wu
63
3
0
05 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
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
39
13
0
05 Oct 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual
  Distribution Shifting
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting
Deqian Kong
Bo Pang
Tian Han
Ying Nian Wu
DiffM
58
7
0
09 Jun 2023
Modulated Neural ODEs
Modulated Neural ODEs
I. Auzina
Çağatay Yıldız
Sara Magliacane
Matthias Bethge
E. Gavves
45
5
0
26 Feb 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled
  Time Series
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari
Alvin Heng
Andre Lim
Harold Soh
BDL
AI4TS
51
15
0
26 Jan 2023
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Peiyu Yu
Sirui Xie
Xiaojian Ma
Baoxiong Jia
Bo Pang
Ruigi Gao
Yixin Zhu
Song-Chun Zhu
Ying Nian Wu
DiffM
57
82
0
13 Jun 2022
An Energy-Based Prior for Generative Saliency
An Energy-Based Prior for Generative Saliency
Jing Zhang
Jianwen Xie
Nick Barnes
Ping Li
51
3
0
19 Apr 2022
Learning Generative Vision Transformer with Energy-Based Latent Space
  for Saliency Prediction
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Jing Zhang
Jianwen Xie
Nick Barnes
Ping Li
ViT
47
92
0
27 Dec 2021
Scalable Inference in SDEs by Direct Matching of the
  Fokker-Planck-Kolmogorov Equation
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation
Arno Solin
Ella Tamir
Prakhar Verma
30
19
0
29 Oct 2021
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
51
42
0
29 Oct 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text
  Generation and Classification
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
Bo Pang
Ying Nian Wu
41
18
0
26 Aug 2021
On Out-of-distribution Detection with Energy-based Models
On Out-of-distribution Detection with Energy-based Models
Sven Elflein
Bertrand Charpentier
Daniel Zügner
Stephan Günnemann
OODD
42
19
0
03 Jul 2021
Trajectory Prediction with Latent Belief Energy-Based Model
Trajectory Prediction with Latent Belief Energy-Based Model
Bo Pang
Tianyang Zhao
Xu Xie
Ying Nian Wu
42
92
0
07 Apr 2021
Neural ODE Processes
Neural ODE Processes
Alexander Norcliffe
Cristian Bodnar
Ben Day
Jacob Moss
Pietro Lio
BDL
AI4TS
50
63
0
23 Mar 2021
dm_control: Software and Tasks for Continuous Control
dm_control: Software and Tasks for Continuous Control
Yuval Tassa
S. Tunyasuvunakool
Alistair Muldal
Yotam Doron
Piotr Trochim
...
Steven Bohez
J. Merel
Tom Erez
Timothy Lillicrap
N. Heess
LM&Ro
66
403
0
22 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
284
17,550
0
19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
199
10,591
0
17 Feb 2020
Motion-Based Generator Model: Unsupervised Disentanglement of
  Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Jianwen Xie
Ruiqi Gao
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
DiffM
41
21
0
26 Nov 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDa
CML
AI4TS
81
292
0
29 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
55
210
0
22 Apr 2019
Learning Dynamic Generator Model by Alternating Back-Propagation Through
  Time
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
Jianwen Xie
Ruiqi Gao
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
49
47
0
27 Dec 2018
Gaussian Process Prior Variational Autoencoders
Gaussian Process Prior Variational Autoencoders
F. P. Casale
Adrian Dalca
Luca Saglietti
Jennifer Listgarten
Nicolò Fusi
BDL
CML
40
135
0
28 Oct 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
232
5,024
0
19 Jun 2018
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
112
1,138
0
17 Jul 2017
A Theory of Generative ConvNet
A Theory of Generative ConvNet
Jianwen Xie
Yang Lu
Song-Chun Zhu
Ying Nian Wu
DiffM
GAN
74
320
0
10 Feb 2016
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Zhe Gan
Chunyuan Li
Ricardo Henao
David Carlson
Lawrence Carin
BDL
45
85
0
23 Sep 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
282
3,278
0
09 Jun 2012
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