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Autoregressive Energy Machines

Autoregressive Energy Machines

11 April 2019
C. Nash
Conor Durkan
ArXivPDFHTML

Papers citing "Autoregressive Energy Machines"

16 / 16 papers shown
Title
The autoregressive neural network architecture of the Boltzmann
  distribution of pairwise interacting spins systems
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems
I. Biazzo
AI4CE
34
7
0
16 Feb 2023
Posterior Matching for Arbitrary Conditioning
Posterior Matching for Arbitrary Conditioning
R. Strauss
Junier B. Oliva
CML
BDL
42
6
0
28 Jan 2022
Implicit Behavioral Cloning
Implicit Behavioral Cloning
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
74
372
0
01 Sep 2021
A Unified Deep Model of Learning from both Data and Queries for
  Cardinality Estimation
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
Peizhi Wu
Gao Cong
OOD
24
64
0
26 Jul 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate
  Generation
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
49
312
0
08 Jun 2021
Autoencoding Under Normalization Constraints
Autoencoding Under Normalization Constraints
Sangwoong Yoon
Yung-Kyun Noh
Frank C. Park
OODD
UQCV
27
38
0
12 May 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
45
485
0
08 Mar 2021
BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation
BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation
Ziniu Wu
Amir Shaikhha
Rong Zhu
Kai Zeng
Yuxing Han
Jingren Zhou
BDL
17
23
0
29 Dec 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented
  Distillation
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
Rasool Fakoor
Jonas W. Mueller
Nick Erickson
Pratik Chaudhari
Alex Smola
26
54
0
25 Jun 2020
NeuroCard: One Cardinality Estimator for All Tables
NeuroCard: One Cardinality Estimator for All Tables
Zongheng Yang
Amog Kamsetty
Sifei Luan
Eric Liang
Yan Duan
Xi Chen
Ion Stoica
30
100
0
15 Jun 2020
TraDE: Transformers for Density Estimation
TraDE: Transformers for Density Estimation
Rasool Fakoor
Pratik Chaudhari
Jonas W. Mueller
Alex Smola
20
30
0
06 Apr 2020
Invertible Generative Modeling using Linear Rational Splines
Invertible Generative Modeling using Linear Rational Splines
H. M. Dolatabadi
S. Erfani
C. Leckie
32
65
0
15 Jan 2020
Neural Spline Flows
Neural Spline Flows
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
DRL
41
748
0
10 Jun 2019
Cubic-Spline Flows
Cubic-Spline Flows
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
TPM
53
57
0
05 Jun 2019
Deep Unsupervised Cardinality Estimation
Deep Unsupervised Cardinality Estimation
Zongheng Yang
Eric Liang
Amog Kamsetty
Chenggang Wu
Yan Duan
Peter Chen
Pieter Abbeel
J. M. Hellerstein
S. Krishnan
Ion Stoica
27
203
0
10 May 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
275
2,553
0
25 Jan 2016
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