Cover Image

Residualized Temporal Sparse Autoencoders for Interpreting Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yeung, Calvin, Poduval, Prathyush, Zakeri, Ali, Zou, Zhuowen, Imani, Mohsen
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Coupled Inference in Diffusion Models for Semantic Decomposition
by: Yeung, Calvin, et al.
Published: (2026)

Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures
by: Yeung, Calvin, et al.
Published: (2024)

ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions
by: Poduval, Prathyush, et al.
Published: (2026)

Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
by: Piran, Fardin Jalil, et al.
Published: (2024)

Interpreting CLIP with Hierarchical Sparse Autoencoders
by: Zaigrajew, Vladimir, et al.
Published: (2025)

One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
by: Surkov, Viacheslav, et al.
Published: (2024)

Hyperdimensional Quantum Factorization
by: Poduval, Prathyush, et al.
Published: (2024)

Masked Autoencoders Are Effective Tokenizers for Diffusion Models
by: Chen, Hao, et al.
Published: (2025)

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering
by: Chatzoudis, Gerasimos, et al.
Published: (2025)

STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
by: Foo, Shi Quan, et al.
Published: (2025)

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
by: Pach, Mateusz, et al.
Published: (2025)

Improving the Diffusability of Autoencoders
by: Skorokhodov, Ivan, et al.
Published: (2025)

Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces
by: Chen, Zhiling, et al.
Published: (2024)

On the Scalability of Diffusion-based Text-to-Image Generation
by: Li, Hao, et al.
Published: (2024)

VideoNSA: Native Sparse Attention Scales Video Understanding
by: Song, Enxin, et al.
Published: (2025)

TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
by: Huang, Victor Shea-Jay, et al.
Published: (2025)

Diffusion Autoencoders are Scalable Image Tokenizers
by: Chen, Yinbo, et al.
Published: (2025)

Patronus: Interpretable Diffusion Models with Prototypes
by: Weng, Nina, et al.
Published: (2025)

Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
by: Jun, Youngjun, et al.
Published: (2026)

Residual Prior Diffusion: A Probabilistic Framework Integrating Coarse Latent Priors with Diffusion Models
by: Kutsuna, Takuro
Published: (2025)

SALVE: Sparse Autoencoder-Latent Vector Editing for Mechanistic Control of Neural Networks
by: Flovik, Vegard
Published: (2025)

GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models
by: Nerrise, Favour, et al.
Published: (2026)

Text-Aware Diffusion for Policy Learning
by: Luo, Calvin, et al.
Published: (2024)

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
by: Hua, Zhenglin, et al.
Published: (2025)

Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models
by: Burgess, James, et al.
Published: (2023)

Generalized Holographic Reduced Representations
by: Yeung, Calvin, et al.
Published: (2024)

SPARC: Concept-Aligned Sparse Autoencoders for Cross-Model and Cross-Modal Interpretability
by: Nasiri-Sarvi, Ali, et al.
Published: (2025)

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders
by: Keel, Benjamin, et al.
Published: (2025)

Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract)
by: Lee, Yousung, et al.
Published: (2026)

Reproducing DragDiffusion: Interactive Point-Based Editing with Diffusion Models
by: Subhan, Ali, et al.
Published: (2026)

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
by: Huang, Yushi, et al.
Published: (2023)

Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
by: Wang, Hao, et al.
Published: (2026)

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2025)

Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion
by: Jung, Justin
Published: (2025)

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
by: Kim, Hyeonjin, et al.
Published: (2026)

An Interpretable Representation Learning Approach for Diffusion Tensor Imaging
by: Singh, Vishwa Mohan, et al.
Published: (2025)

Shiva-DiT: Residual-Based Differentiable Top-$k$ Selection for Efficient Diffusion Transformers
by: Zhang, Jiaji, et al.
Published: (2026)

Causal Interpretation of Sparse Autoencoder Features in Vision
by: Han, Sangyu, et al.
Published: (2025)

Elucidating the Exposure Bias in Diffusion Models
by: Ning, Mang, et al.
Published: (2023)

Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
by: Sui, Elaine, et al.
Published: (2024)