Poster "disentangled representations" Papers

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Can Diffusion Models Disentangle? A Theoretical Perspective

Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong et al.

NEURIPS 2025arXiv:2504.00220

Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations

Tal Barami, Nimrod Berman, Ilan Naiman et al.

NEURIPS 2025arXiv:2510.17313
2
citations

Disentangling Representations through Multi-task Learning

Pantelis Vafidis, Aman Bhargava, Antonio Rangel

ICLR 2025arXiv:2407.11249
5
citations

Dreamweaver: Learning Compositional World Models from Pixels

Junyeob Baek, Yi-Fu Wu, Gautam Singh et al.

ICLR 2025arXiv:2501.14174
3
citations

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax

Ivan Butakov, Alexander Semenenko, Alexander Tolmachev et al.

ICLR 2025arXiv:2410.06993
3
citations

Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer

XINYUE HU, Zhibin Duan, Bo Chen et al.

ICLR 2025arXiv:2505.22199
3
citations

Disentanglement Learning via Topology

Nikita Balabin, Daria Voronkova, Ilya Trofimov et al.

ICML 2024arXiv:2308.12696
3
citations