Saved in:
| Main Authors: | Martirosyan, Boris, Karmanov, Alexey |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.07706 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Latent-Augmented Discrete Diffusion Models
by: Shariatian, Dario, et al.
Published: (2025)
by: Shariatian, Dario, et al.
Published: (2025)
Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization
by: Li, Minhuan, et al.
Published: (2026)
by: Li, Minhuan, et al.
Published: (2026)
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
by: Liu, Kay, et al.
Published: (2023)
by: Liu, Kay, et al.
Published: (2023)
Multimodal Latent Reasoning via Predictive Embeddings
by: Adhikari, Ashutosh, et al.
Published: (2026)
by: Adhikari, Ashutosh, et al.
Published: (2026)
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
by: Sengar, Aditya, et al.
Published: (2025)
by: Sengar, Aditya, et al.
Published: (2025)
Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026)
by: Tang, Weijing, et al.
Published: (2026)
DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling
by: Lemercier, Jean-Marie, et al.
Published: (2026)
by: Lemercier, Jean-Marie, et al.
Published: (2026)
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
by: Tian, Yuxing, et al.
Published: (2024)
by: Tian, Yuxing, et al.
Published: (2024)
Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
by: Ng, Wen Zheng Terence, et al.
Published: (2025)
by: Ng, Wen Zheng Terence, et al.
Published: (2025)
Generalization Bounds for Spectral GNNs via Fourier Domain Analysis
by: Martirosyan, Vahan A., et al.
Published: (2026)
by: Martirosyan, Vahan A., et al.
Published: (2026)
More Data or Better Algorithms: Latent Diffusion Augmentation for Deep Imbalanced Regression
by: Alahyari, Shayan
Published: (2025)
by: Alahyari, Shayan
Published: (2025)
Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering
by: Wei, Wei, et al.
Published: (2026)
by: Wei, Wei, et al.
Published: (2026)
Understanding Latent Diffusability via Fisher Geometry
by: Gu, Jing, et al.
Published: (2026)
by: Gu, Jing, et al.
Published: (2026)
Hyper-Transforming Latent Diffusion Models
by: Peis, Ignacio, et al.
Published: (2025)
by: Peis, Ignacio, et al.
Published: (2025)
Optimal Stopping in Latent Diffusion Models
by: Wu, Yu-Han, et al.
Published: (2025)
by: Wu, Yu-Han, et al.
Published: (2025)
Latent Abstractions in Generative Diffusion Models
by: Franzese, Giulio, et al.
Published: (2024)
by: Franzese, Giulio, et al.
Published: (2024)
Piecewise Constant Spectral Graph Neural Network
by: Martirosyan, Vahan, et al.
Published: (2025)
by: Martirosyan, Vahan, et al.
Published: (2025)
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
by: Peetathawatchai, Pura, et al.
Published: (2024)
by: Peetathawatchai, Pura, et al.
Published: (2024)
Score Augmentation for Diffusion Models
by: Hou, Liang, et al.
Published: (2025)
by: Hou, Liang, et al.
Published: (2025)
SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
by: Barancikova, Barbora, et al.
Published: (2024)
by: Barancikova, Barbora, et al.
Published: (2024)
Transport of Algebraic Structure to Latent Embeddings
by: Pfrommer, Samuel, et al.
Published: (2024)
by: Pfrommer, Samuel, et al.
Published: (2024)
Robust Knowledge Graph Embedding via Denoising
by: Song, Tengwei, et al.
Published: (2025)
by: Song, Tengwei, et al.
Published: (2025)
On the Limits of Latent Reuse in Diffusion Models
by: Yu, Yifeng, et al.
Published: (2026)
by: Yu, Yifeng, et al.
Published: (2026)
Principled Latent Diffusion for Graphs via Laplacian Autoencoders
by: Siraudin, Antoine, et al.
Published: (2026)
by: Siraudin, Antoine, et al.
Published: (2026)
Reasoning with Latent Tokens in Diffusion Language Models
by: He, Andre, et al.
Published: (2026)
by: He, Andre, et al.
Published: (2026)
Distributionally Robust Optimization via Diffusion Ambiguity Modeling
by: Wen, Jiaqi, et al.
Published: (2025)
by: Wen, Jiaqi, et al.
Published: (2025)
Efficient Synthetic Network Generation via Latent Embedding Reconstruction
by: Jiang, Feifan, et al.
Published: (2026)
by: Jiang, Feifan, et al.
Published: (2026)
Latent Planning via Embedding Arithmetic: A Contrastive Approach to Strategic Reasoning
by: Hamara, Andrew, et al.
Published: (2025)
by: Hamara, Andrew, et al.
Published: (2025)
Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces
by: Baldwin, Martha, et al.
Published: (2024)
by: Baldwin, Martha, et al.
Published: (2024)
Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences
by: Sakhno, Artem, et al.
Published: (2026)
by: Sakhno, Artem, et al.
Published: (2026)
JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular Generation
by: Shi, Ji, et al.
Published: (2025)
by: Shi, Ji, et al.
Published: (2025)
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
by: Samra, Abdulaziz, et al.
Published: (2024)
by: Samra, Abdulaziz, et al.
Published: (2024)
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection
by: Girella, Federico, et al.
Published: (2024)
by: Girella, Federico, et al.
Published: (2024)
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration
by: Boyar, Onur, et al.
Published: (2023)
by: Boyar, Onur, et al.
Published: (2023)
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
by: Luo, Yanchen, et al.
Published: (2025)
by: Luo, Yanchen, et al.
Published: (2025)
Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusion
by: Ihsan, Md. Tawfique, et al.
Published: (2025)
by: Ihsan, Md. Tawfique, et al.
Published: (2025)
The Differences Between Direct Alignment Algorithms are a Blur
by: Gorbatovski, Alexey, et al.
Published: (2025)
by: Gorbatovski, Alexey, et al.
Published: (2025)
Latent Variable Modeling for Robust Causal Effect Estimation
by: Morimura, Tetsuro, et al.
Published: (2025)
by: Morimura, Tetsuro, et al.
Published: (2025)
LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening
by: Osman, Nagham, et al.
Published: (2025)
by: Osman, Nagham, et al.
Published: (2025)
Probing the Latent Hierarchical Structure of Data via Diffusion Models
by: Sclocchi, Antonio, et al.
Published: (2024)
by: Sclocchi, Antonio, et al.
Published: (2024)
Similar Items
-
Latent-Augmented Discrete Diffusion Models
by: Shariatian, Dario, et al.
Published: (2025) -
Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization
by: Li, Minhuan, et al.
Published: (2026) -
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
by: Liu, Kay, et al.
Published: (2023) -
Multimodal Latent Reasoning via Predictive Embeddings
by: Adhikari, Ashutosh, et al.
Published: (2026) -
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
by: Sengar, Aditya, et al.
Published: (2025)