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ParamReL: Learning Parameter Space Representation via Progressively
  Encoding Bayesian Flow Networks

ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks

24 May 2024
Zhangkai Wu
Xuhui Fan
Jin Li
Zhilin Zhao
Hui Chen
LongBing Cao
ArXivPDFHTML

Papers citing "ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks"

5 / 5 papers shown
Title
$α$-TCVAE: On the relationship between Disentanglement and
  Diversity
ααα-TCVAE: On the relationship between Disentanglement and Diversity
Cristian Meo
Louis Mahon
Anirudh Goyal
Justin Dauwels
DRL
47
8
0
01 Nov 2024
Marked Temporal Bayesian Flow Point Processes
Marked Temporal Bayesian Flow Point Processes
Hui Chen
Xuhui Fan
Hengyu Liu
Longbing Cao
AI4TS
16
0
0
25 Oct 2024
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
Yuxuan Song
Jingjing Gong
Yanru Qu
Hao Zhou
Mingyue Zheng
Jingjing Liu
Wei-Ying Ma
18
5
0
17 Mar 2024
NashAE: Disentangling Representations through Adversarial Covariance
  Minimization
NashAE: Disentangling Representations through Adversarial Covariance Minimization
Eric C. Yeats
Frank Liu
David A. P. Womble
Hai Helen Li
CML
30
10
0
21 Sep 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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