ICLR "generative modeling" Papers
14 papers found
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach
ICLR 2025posterarXiv:2410.01660
5
citations
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller, Kathrin Gruber, Dennis Fok
ICLR 2025posterarXiv:2312.10431
8
citations
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Yeongmin Kim, Kwanghyeon Lee, Minsang Park et al.
ICLR 2025arXiv:2405.17111
6
citations
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Ivan Butakov, Alexander Semenenko, Alexander Tolmachev et al.
ICLR 2025posterarXiv:2410.06993
2
citations
Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Quanquan Gu
ICLR 2025posterarXiv:2503.04975
24
citations
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.
ICLR 2025posterarXiv:2405.20879
12
citations
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
Xiangxin Zhou, Yi Xiao, Haowei Lin et al.
ICLR 2025posterarXiv:2503.03989
1
citations
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Biao Zhang, Peter Wonka
ICLR 2025posterarXiv:2410.01295
11
citations
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
Nayoung Kim, Seongsu Kim, Minsu Kim et al.
ICLR 2025posterarXiv:2410.17270
5
citations
Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
Alessandro Palma, Till Richter, Hanyi Zhang et al.
ICLR 2025posterarXiv:2407.11734
7
citations
On the Feature Learning in Diffusion Models
Andi Han, Wei Huang, Yuan Cao et al.
ICLR 2025posterarXiv:2412.01021
13
citations
Physics-Informed Diffusion Models
Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann
ICLR 2025posterarXiv:2403.14404
52
citations
Steering Protein Family Design through Profile Bayesian Flow
Jingjing Gong, Yu Pei, Siyu Long et al.
ICLR 2025posterarXiv:2502.07671
3
citations
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
Yuchen Zhu, Tianrong Chen, Lingkai Kong et al.
ICLR 2025posterarXiv:2405.16381
13
citations