:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Candanedo, Julio
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2604.09560
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Linearized Diffusion Map
di: Candanedo, Julio
Pubblicazione: (2025)

Diffusion Map Autoencoder
di: Candanedo, Julio
Pubblicazione: (2024)

Diffusion Maps is not Dimensionality Reduction
di: Candanedo, Julio, et al.
Pubblicazione: (2026)

LISA: Laplacian In-context Spectral Analysis
di: Candanedo, Julio
Pubblicazione: (2026)

DeepCrossAttention: Supercharging Transformer Residual Connections
di: Heddes, Mike, et al.
Pubblicazione: (2025)

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
di: Dutta, Sharmishtha, et al.
Pubblicazione: (2024)

Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention
di: Xiong, Wen, et al.
Pubblicazione: (2025)

On the Connection Between Diffusion Models and Molecular Dynamics
di: Harcombe, Liam, et al.
Pubblicazione: (2025)

Topological Cycle Graph Attention Network for Brain Functional Connectivity
di: Huang, Jinghan, et al.
Pubblicazione: (2024)

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
di: Taniai, Tatsunori, et al.
Pubblicazione: (2024)

D-GATNet: Interpretable Temporal Graph Attention Learning for ADHD Identification Using Dynamic Functional Connectivity
di: Ain, Qurat Ul, et al.
Pubblicazione: (2026)

Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention
di: Tang, Zhongpan
Pubblicazione: (2025)

Attention-Based Sampler for Diffusion Language Models
di: Zhou, Yuyan, et al.
Pubblicazione: (2026)

MMCAformer: Macro-Micro Cross-Attention Transformer for Traffic Speed Prediction with Microscopic Connected Vehicle Driving Behavior
di: Han, Lei, et al.
Pubblicazione: (2026)

DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs
di: Kim, Bumjun, et al.
Pubblicazione: (2026)

NoiseFormer -- Noise Diffused Symmetric Attention Transformer
di: Kumar, Phani, et al.
Pubblicazione: (2026)

Revealing the Attention Floating Mechanism in Masked Diffusion Models
di: Dai, Xin, et al.
Pubblicazione: (2026)

ToMA: Token Merge with Attention for Diffusion Models
di: Lu, Wenbo, et al.
Pubblicazione: (2025)

Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
di: Geiping, Jonas, et al.
Pubblicazione: (2025)

Energy Approach from $\varepsilon$-Graph to Continuum Diffusion Model with Connectivity Functional
di: Yang, Yahong, et al.
Pubblicazione: (2025)

Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention
di: Oh, Seunghun, et al.
Pubblicazione: (2026)

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
di: Behrouz, Ali, et al.
Pubblicazione: (2025)

Origins of Creativity in Attention-Based Diffusion Models
di: Finn, Emma, et al.
Pubblicazione: (2025)

Connecting Independently Trained Modes via Layer-Wise Connectivity
di: Tian, Yongding, et al.
Pubblicazione: (2025)

Kan Extension Transformers: A Categorical Unification of Attention, Diffusion, and Predict-Detach Self-Conditioning
di: Mahadevan, Sridhar
Pubblicazione: (2026)

Conditional Diffusion Modeling with Attention for Probabilistic Battery Capacity Prediction under Real-World Condition
di: Jiang, Chunlin, et al.
Pubblicazione: (2025)

Attention in Diffusion Model: A Survey
di: Hua, Litao, et al.
Pubblicazione: (2025)

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models
di: Novello, Nicola, et al.
Pubblicazione: (2026)

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
di: Li, Runze, et al.
Pubblicazione: (2025)

EDiT: Efficient Diffusion Transformers with Linear Compressed Attention
di: Becker, Philipp, et al.
Pubblicazione: (2025)

Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections
di: Chiang, Chia-Hao, et al.
Pubblicazione: (2024)

Geometry-Aware Attention Guidance for Diffusion Models via Modern Hopfield Dynamics
di: Kim, Kwanyoung
Pubblicazione: (2026)

PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
di: Kim, Kwanyoung, et al.
Pubblicazione: (2025)

FlashOmni: A Unified Sparse Attention Engine for Diffusion Transformers
di: Qiao, Liang, et al.
Pubblicazione: (2025)

Shape-Guided Diffusion with Inside-Outside Attention
di: Park, Dong Huk, et al.
Pubblicazione: (2022)

Connective Viewpoints of Signal-to-Noise Diffusion Models
di: Doan, Khanh, et al.
Pubblicazione: (2024)

LVSA: Training-Free Sparse Attention for Long Video Diffusion
di: Glorian, Gael, et al.
Pubblicazione: (2026)

Attention Is All You Need for KV Cache in Diffusion LLMs
di: Nguyen-Tri, Quan, et al.
Pubblicazione: (2025)

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
di: Helbling, Alec, et al.
Pubblicazione: (2025)

Landscaping Linear Mode Connectivity
di: Singh, Sidak Pal, et al.
Pubblicazione: (2024)