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Unveiling and Steering Connectome Organization with Interpretable Latent Variables

Unveiling and Steering Connectome Organization with Interpretable Latent Variables

19 May 2025
Yubin Li
Xingyu Liu
Guozhang Chen
ArXivPDFHTML

Papers citing "Unveiling and Steering Connectome Organization with Interpretable Latent Variables"

17 / 17 papers shown
Title
Improving Molecular Graph Generation with Flow Matching and Optimal
  Transport
Improving Molecular Graph Generation with Flow Matching and Optimal Transport
Xiaoyang Hou
Tian Zhu
Milong Ren
Dongbo Bu
Xin Gao
Chunming Zhang
Shiwei Sun
OT
30
3
0
08 Nov 2024
Generative Modelling of Structurally Constrained Graphs
Generative Modelling of Structurally Constrained Graphs
Manuel Madeira
Clément Vignac
D. Thanou
Pascal Frossard
DiffM
63
3
0
25 Jun 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
95
14
0
19 May 2024
Efficient and Degree-Guided Graph Generation via Discrete Diffusion
  Modeling
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Xiaohui Chen
Jiaxing He
Xuhong Han
Liping Liu
DiffM
53
52
0
06 May 2023
Graph Generation with Diffusion Mixture
Graph Generation with Diffusion Mixture
Jaehyeong Jo
Dongki Kim
Sung Ju Hwang
DiffM
41
21
0
07 Feb 2023
Overlooked Implications of the Reconstruction Loss for VAE
  Disentanglement
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
Nathan Michlo
Richard Klein
Steven D. James
DRL
13
8
0
27 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic
  Differential Equations
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo
Seul Lee
Sung Ju Hwang
DiffM
46
219
0
05 Feb 2022
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
204
195
0
01 Feb 2021
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
182
10,591
0
17 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
150
434
0
26 Jan 2020
Relevance Factor VAE: Learning and Identifying Disentangled Factors
Relevance Factor VAE: Learning and Identifying Disentangled Factors
Minyoung Kim
Yuting Wang
Pritish Sahu
Vladimir Pavlovic
CoGe
CML
DRL
34
39
0
05 Feb 2019
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
86
1,451
0
29 Nov 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNN
BDL
81
842
0
09 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled
  Observations
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDL
DRL
47
520
0
02 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
301
19,902
0
30 Oct 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
446
21,459
0
22 May 2017
The CMA Evolution Strategy: A Tutorial
The CMA Evolution Strategy: A Tutorial
N. Hansen
47
1,362
0
04 Apr 2016
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