Poster "deep generative models" Papers

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Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density

Sabine Susstrunk, Mathieu Salzmann, Chen Liu et al.

ICLR 2025arXiv:2407.08659
2
citations

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation

Ziwei Yang, Zheng Chen, XIN LIU et al.

ICLR 2025arXiv:2410.13178
2
citations

A Geometric Explanation of the Likelihood OOD Detection Paradox

Hamidreza Kamkari, Brendan Ross, Jesse Cresswell et al.

ICML 2024arXiv:2403.18910
16
citations

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder

Jiajie Fan, Amal Trigui, Thomas Bäck et al.

ECCV 2024arXiv:2403.05352
3
citations

GenCO: Generating Diverse Designs with Combinatorial Constraints

Aaron Ferber, Arman Zharmagambetov, Taoan Huang et al.

ICML 2024arXiv:2310.02442
2
citations

Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification

Jay Gala, Pengtao Xie

ICML 2024

Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution

Eslam Zaher, Maciej Trzaskowski, Quan Nguyen et al.

ICML 2024arXiv:2405.09800
9
citations

Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference

Md Musfiqur Rahman, Murat Kocaoglu

ICML 2024arXiv:2401.01426
9
citations

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents

Yuqi Jia, Saeed Vahidian, Jingwei Sun et al.

ECCV 2024arXiv:2312.01537
18
citations