Imagen de Portada

Sparse Mixture-of-Experts for Multi-Channel Imaging: Are All Channel Interactions Required?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yun, Sukwon, Yao, Heming, Hoeckendorf, Burkhard, Richmond, David, Regev, Aviv, Littman, Russell
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images
por: Yao, Heming, et al.
Publicado: (2024)

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
por: Xin, Jiayi, et al.
Publicado: (2025)

From Sparse to Soft Mixtures of Experts
por: Puigcerver, Joan, et al.
Publicado: (2023)

Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network
por: Yun, Sukwon, et al.
Publicado: (2024)

Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening
por: Bigverdi, Mahtab, et al.
Publicado: (2024)

DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
por: Marikkar, Umar, et al.
Publicado: (2026)

PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
por: Huang, Xiaoshui, et al.
Publicado: (2025)

AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object Detection
por: Lin, Hongwei, et al.
Publicado: (2026)

Spatio-Semantic Expert Routing Architecture with Mixture-of-Experts for Referring Image Segmentation
por: Dalaq, Alaa, et al.
Publicado: (2026)

Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning
por: Van Assel, Hugues, et al.
Publicado: (2025)

VidPrism: Heterogeneous Mixture of Experts for Image-to-Video Transfer
por: Lin, Rui, et al.
Publicado: (2026)

RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation
por: Chen, Yixin, et al.
Publicado: (2026)

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation
por: Xiao, Jinqi, et al.
Publicado: (2025)

Sparse-Dense Mixture of Experts Adapter for Multi-Modal Tracking
por: Zhu, Yabin, et al.
Publicado: (2026)

Dynamic Orchestration of Multi-Agent System for Real-World Multi-Image Agricultural VQA
por: Ke, Yan, et al.
Publicado: (2025)

Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
por: Zhang, Xinwei, et al.
Publicado: (2025)

MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling
por: Teo, Rachel S. Y., et al.
Publicado: (2025)

MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
por: Teo, Rachel S. Y., et al.
Publicado: (2024)

When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions
por: Cao, Zhuo, et al.
Publicado: (2025)

Channel-Aware Probing for Multi-Channel Imaging
por: Marikkar, Umar, et al.
Publicado: (2026)

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
por: Wang, Yun, et al.
Publicado: (2025)

HIMOSA: Efficient Remote Sensing Image Super-Resolution with Hierarchical Mixture of Sparse Attention
por: Liu, Yi, et al.
Publicado: (2025)

Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
por: Yang, Minghao, et al.
Publicado: (2025)

ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts
por: Będkowski, Patryk, et al.
Publicado: (2025)

Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts
por: Zhu, Chenyang, et al.
Publicado: (2024)

RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models
por: Jiao, Pengkun, et al.
Publicado: (2024)

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts
por: Kada, Masahiro, et al.
Publicado: (2026)

Channel-wise Vector Quantization
por: Song, Wei, et al.
Publicado: (2026)

Automatic Channel Pruning for Multi-Head Attention
por: Lee, Eunho, et al.
Publicado: (2024)

Image-POSER: Reflective RL for Multi-Expert Image Generation and Editing
por: Mohebbi, Hossein, et al.
Publicado: (2025)

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
por: He, Haisen, et al.
Publicado: (2026)

Dual-Channel Attention Guidance for Training-Free Image Editing Control in Diffusion Transformers
por: Li, Guandong
Publicado: (2026)

GazeMoE: Perception of Gaze Target with Mixture-of-Experts
por: Dai, Zhuangzhuang, et al.
Publicado: (2026)

Metis-HOME: Hybrid Optimized Mixture-of-Experts for Multimodal Reasoning
por: Lan, Xiaohan, et al.
Publicado: (2025)

Distilling Channels for Efficient Deep Tracking
por: Ge, Shiming, et al.
Publicado: (2024)

Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving
por: Wang, Jiyao, et al.
Publicado: (2024)

Efficient Multi-Object Tracking on Edge Devices via Reconstruction-Based Channel Pruning
por: Müller, Jan, et al.
Publicado: (2024)

Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization
por: Jia, Chenwei, et al.
Publicado: (2026)

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts
por: He, Xin, et al.
Publicado: (2025)

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis
por: Peltekian, Alec K., et al.
Publicado: (2025)