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Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
International Conference on Machine Learning (ICML), 2023
16 February 2023
Xuejie Liu
Hoang Trung-Dung
Karen Ullrich
Yitao Liang
TPM
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Papers citing
"Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits"
15 / 15 papers shown
Tractable Representation Learning with Probabilistic Circuits
Steven Braun
Sahil Sidheekh
Antonio Vergari
Martin Mundt
S. Natarajan
Kristian Kersting
TPM
510
4
0
06 Jul 2025
Scaling Probabilistic Circuits via Monarch Matrices
Honghua Zhang
Meihua Dang
Benjie Wang
Stefano Ermon
Nanyun Peng
Karen Ullrich
TPM
MoE
336
8
0
14 Jun 2025
Rethinking Probabilistic Circuit Parameter Learning
Anji Liu
Karen Ullrich
Guy Van den Broeck
TPM
412
2
0
26 May 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
416
1
0
15 Mar 2025
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte
Antonio Mari
G. Gala
Robert Peharz
Cassio de Campos
Erik Quaeghebeur
G. Vessio
Antonio Vergari
640
25
0
12 Sep 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits
AAAI Conference on Artificial Intelligence (AAAI), 2024
Benjie Wang
Karen Ullrich
TPM
485
15
0
01 Aug 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Neural Information Processing Systems (NeurIPS), 2024
G. Gala
Cassio de Campos
Antonio Vergari
Erik Quaeghebeur
TPM
405
10
0
10 Jun 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective
International Conference on Machine Learning (ICML), 2024
Hoang Trung-Dung
Kareem Ahmed
Karen Ullrich
TPM
BDL
436
23
0
02 Jun 2024
SFDDM: Single-fold Distillation for Diffusion models
Chi Hong
Jiyue Huang
Robert Birke
Dick H. J. Epema
Stefanie Roos
Lydia Y. Chen
280
1
0
23 May 2024
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
AAAI Conference on Artificial Intelligence (AAAI), 2024
Athresh Karanam
Saurabh Mathur
Sahil Sidheekh
S. Natarajan
TPM
308
5
0
03 May 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review
Sahil Sidheekh
S. Natarajan
TPM
438
9
0
01 Feb 2024
Image Inpainting via Tractable Steering of Diffusion Models
International Conference on Learning Representations (ICLR), 2023
Hoang Trung-Dung
Mathias Niepert
Karen Ullrich
DiffM
TPM
345
32
0
28 Nov 2023
A Tractable Inference Perspective of Offline RL
Neural Information Processing Systems (NeurIPS), 2023
Xuejie Liu
Hoang Trung-Dung
Karen Ullrich
Yitao Liang
OffRL
645
2
0
31 Oct 2023
Probabilistic Integral Circuits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
G. Gala
Cassio de Campos
Robert Peharz
Antonio Vergari
Erik Quaeghebeur
TPM
305
7
0
25 Oct 2023
Generative Marginalization Models
Sulin Liu
Peter J. Ramadge
Ryan P. Adams
292
3
0
19 Oct 2023
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