PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Kwanyoung, Sim, Byeongsu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
by: Kim, Kwanyoung, et al.
Published: (2026)
by: Kim, Kwanyoung, et al.
Published: (2026)
Geometry-Aware Attention Guidance for Diffusion Models via Modern Hopfield Dynamics
by: Kim, Kwanyoung
Published: (2026)
by: Kim, Kwanyoung
Published: (2026)
Improving Diffusion Models for Inverse Problems using Manifold Constraints
by: Chung, Hyungjin, et al.
Published: (2022)
by: Chung, Hyungjin, et al.
Published: (2022)
The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
by: Lee, Kwanhee, et al.
Published: (2025)
by: Lee, Kwanhee, et al.
Published: (2025)
HashAttention: Semantic Sparsity for Faster Inference
by: Desai, Aditya, et al.
Published: (2024)
by: Desai, Aditya, et al.
Published: (2024)
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
by: Park, Kwanyoung, et al.
Published: (2024)
by: Park, Kwanyoung, et al.
Published: (2024)
Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models
by: Novello, Nicola, et al.
Published: (2026)
by: Novello, Nicola, et al.
Published: (2026)
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
by: Koh, Sungho, et al.
Published: (2025)
by: Koh, Sungho, et al.
Published: (2025)
Inference Time Context Sparsity: Illusion or Opportunity?
by: Joshi, Sahil, et al.
Published: (2026)
by: Joshi, Sahil, et al.
Published: (2026)
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
by: Kim, Kwanyoung, et al.
Published: (2024)
by: Kim, Kwanyoung, et al.
Published: (2024)
Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance
by: Kim, Kwanyoung
Published: (2025)
by: Kim, Kwanyoung
Published: (2025)
Scalable Offline Model-Based RL with Action Chunks
by: Park, Kwanyoung, et al.
Published: (2025)
by: Park, Kwanyoung, et al.
Published: (2025)
Scaling Attention via Feature Sparsity
by: Xie, Yan, et al.
Published: (2026)
by: Xie, Yan, et al.
Published: (2026)
Chunk-Guided Q-Learning
by: Song, Gwanwoo, et al.
Published: (2026)
by: Song, Gwanwoo, et al.
Published: (2026)
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
by: Bae, Junik, et al.
Published: (2024)
by: Bae, Junik, et al.
Published: (2024)
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
by: Shrestha, Susav, et al.
Published: (2025)
by: Shrestha, Susav, et al.
Published: (2025)
Pushing the Limits of Block Rotations in Post-Training Quantization
by: Sanjeet, Sai, et al.
Published: (2026)
by: Sanjeet, Sai, et al.
Published: (2026)
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models
by: Heo, Jaehoon, et al.
Published: (2025)
by: Heo, Jaehoon, et al.
Published: (2025)
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
by: Kuhar, Sachit, et al.
Published: (2023)
by: Kuhar, Sachit, et al.
Published: (2023)
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
by: Kim, Kwanyoung, et al.
Published: (2025)
by: Kim, Kwanyoung, et al.
Published: (2025)
Dynamic Search for Inference-Time Alignment in Diffusion Models
by: Li, Xiner, et al.
Published: (2025)
by: Li, Xiner, et al.
Published: (2025)
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models
by: An, Tai, et al.
Published: (2025)
by: An, Tai, et al.
Published: (2025)
Inference Time Debiasing Concepts in Diffusion Models
by: Kupssinskü, Lucas S., et al.
Published: (2025)
by: Kupssinskü, Lucas S., et al.
Published: (2025)
RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning
by: Hu, Junhao, et al.
Published: (2025)
by: Hu, Junhao, et al.
Published: (2025)
MoSKA: Mixture of Shared KV Attention for Efficient Long-Sequence LLM Inference
by: Rhee, Myunghyun, et al.
Published: (2025)
by: Rhee, Myunghyun, et al.
Published: (2025)
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
by: Tang, Zhiwei, et al.
Published: (2024)
by: Tang, Zhiwei, et al.
Published: (2024)
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
by: Lee, Gyubin, et al.
Published: (2025)
by: Lee, Gyubin, et al.
Published: (2025)
Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics
by: Xu, Cong, et al.
Published: (2025)
by: Xu, Cong, et al.
Published: (2025)
Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance
by: Jin, Luozhijie, et al.
Published: (2025)
by: Jin, Luozhijie, et al.
Published: (2025)
Inference-Time Scaling in Diffusion Models through Iterative Partial Refinement
by: Kang, Taegu, et al.
Published: (2026)
by: Kang, Taegu, et al.
Published: (2026)
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning
by: Hu, Qiang, et al.
Published: (2024)
by: Hu, Qiang, et al.
Published: (2024)
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
by: Lee, Jaehoon, et al.
Published: (2026)
by: Lee, Jaehoon, et al.
Published: (2026)
Post-Training Sparse Attention with Double Sparsity
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs
by: Georganas, Evangelos, et al.
Published: (2025)
by: Georganas, Evangelos, et al.
Published: (2025)
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
by: Akhound-Sadegh, Tara, et al.
Published: (2025)
by: Akhound-Sadegh, Tara, et al.
Published: (2025)
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching
by: Zhao, Youpeng, et al.
Published: (2024)
by: Zhao, Youpeng, et al.
Published: (2024)
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
by: Kim, Beomsu, et al.
Published: (2023)
by: Kim, Beomsu, et al.
Published: (2023)
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
by: Shao, Zhihong, et al.
Published: (2024)
by: Shao, Zhihong, et al.
Published: (2024)
MegaMath: Pushing the Limits of Open Math Corpora
by: Zhou, Fan, et al.
Published: (2025)
by: Zhou, Fan, et al.
Published: (2025)
Are Self-Attentions Effective for Time Series Forecasting?
by: Kim, Dongbin, et al.
Published: (2024)
by: Kim, Dongbin, et al.
Published: (2024)
Similar Items
-
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
by: Kim, Kwanyoung, et al.
Published: (2026) -
Geometry-Aware Attention Guidance for Diffusion Models via Modern Hopfield Dynamics
by: Kim, Kwanyoung
Published: (2026) -
Improving Diffusion Models for Inverse Problems using Manifold Constraints
by: Chung, Hyungjin, et al.
Published: (2022) -
The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
by: Lee, Kwanhee, et al.
Published: (2025) -
HashAttention: Semantic Sparsity for Faster Inference
by: Desai, Aditya, et al.
Published: (2024)