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2406.00519
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Learning Discrete Concepts in Latent Hierarchical Models
1 June 2024
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Kun Zhang
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Papers citing
"Learning Discrete Concepts in Latent Hierarchical Models"
50 / 68 papers shown
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Differentiable Causal Discovery For Latent Hierarchical Causal Models
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Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
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A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data
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Matthieu Wyart
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Ignavier Ng
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Songyao Jin
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18 Dec 2023
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
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Antonio Torralba
David Bau
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Leonard J. Schulman
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416
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13 Nov 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Neural Information Processing Systems (NeurIPS), 2023
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Mingi Kwon
J. Choi
Junghyo Jo
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520
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24 Jul 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
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Damien Scieur
332
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05 Jul 2023
Identification of Nonlinear Latent Hierarchical Models
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Erdun Gao
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Eric Xing
Yuejie Chi
Kun Zhang
CML
326
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13 Jun 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
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Nan Liu
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288
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08 Jun 2023
Provably Learning Object-Centric Representations
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317
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23 May 2023
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International Conference on Machine Learning (ICML), 2023
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Soheil Feizi
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10 May 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
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298
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298
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Diffusion Models already have a Semantic Latent Space
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20 Oct 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints
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Clark Glymour
Kun Zhang
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373
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385
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19 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
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