ICML 2024 "generative models" Papers

19 papers found

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

Sebastian Gregor Gruber, Florian Buettner

ICML 2024poster

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization

Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner

ICML 2024poster

A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples

Ben Adcock, Juan Cardenas, Nick Dexter

ICML 2024poster

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance

Mingyuan Bai, Wei Huang, Li Tenghui et al.

ICML 2024poster

Disguised Copyright Infringement of Latent Diffusion Models

Yiwei Lu, Matthew Yang, Zuoqiu Liu et al.

ICML 2024poster

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen et al.

ICML 2024poster

Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design

Hannes Stärk, Bowen Jing, Regina Barzilay et al.

ICML 2024poster

Improving Adversarial Energy-Based Model via Diffusion Process

Cong Geng, Tian Han, Peng-Tao Jiang et al.

ICML 2024poster

Language Models as Semantic Indexers

Bowen Jin, Hansi Zeng, Guoyin Wang et al.

ICML 2024poster

Latent Space Symmetry Discovery

Jianke Yang, Nima Dehmamy, Robin Walters et al.

ICML 2024poster

Learning to Model the World With Language

Jessy Lin, Yuqing Du, Olivia Watkins et al.

ICML 2024poster

Listening to the noise: Blind Denoising with Gibbs Diffusion

David Heurtel-Depeiges, Charles Margossian, Ruben Ohana et al.

ICML 2024poster

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models

Dongha Kim, Jaesung Hwang, Jongjin Lee et al.

ICML 2024poster

Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models

Junlong Lyu, Zhitang Chen, Shoubo Feng

ICML 2024poster

Scaling Tractable Probabilistic Circuits: A Systems Perspective

Anji Liu, Kareem Ahmed, Guy Van den Broeck

ICML 2024poster

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

Mingyuan Zhou, Huangjie Zheng, Zhendong Wang et al.

ICML 2024poster

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process

Xiangxin Zhou, Liang Wang, Yichi Zhou

ICML 2024poster

Switched Flow Matching: Eliminating Singularities via Switching ODEs

Qunxi Zhu, Wei Lin

ICML 2024poster

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding

Guangyi Liu, Yu Wang, Zeyu Feng et al.

ICML 2024poster