{"total":70,"rows":[{"id":"2505.19190","title":"I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts","created":"2025-05-25","cited_by_count":30,"area":"moe"},{"id":"2503.05641","title":"Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills","created":"2025-03-07","cited_by_count":24,"area":"lr"},{"id":"2507.19264","title":"SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality","created":"2025-07-25","cited_by_count":23,"area":null},{"id":"2507.05899","title":"What You Have is What You Track: Adaptive and Robust Multimodal Tracking","created":"2025-07-08","cited_by_count":15,"area":null},{"id":"2509.25278","title":"MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series","created":"2025-09-29","cited_by_count":10,"area":"moe"},{"id":"2503.08008","title":"A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects","created":"2025-03-11","cited_by_count":9,"area":null},{"id":"2411.00918","title":"LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models","created":"2024-11-01","cited_by_count":6,"area":"moe"},{"id":"2505.20001","title":"NEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-Identification","created":"2025-05-26","cited_by_count":6,"area":"moe"},{"id":"2505.11815","title":"UniMoCo: Unified Modality Completion for Robust Multi-Modal Embeddings","created":"2025-05-17","cited_by_count":5,"area":"mllm"},{"id":"2506.14970","title":"NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification","created":"2025-06-17","cited_by_count":5,"area":"moe"},{"id":"2410.11222","title":"Quadratic Gating Mixture of Experts: Statistical Insights into Self-Attention","created":"2024-10-15","cited_by_count":4,"area":"moe"},{"id":"2503.03213","title":"Convergence Rates for Softmax Gating Mixture of Experts","created":"2025-03-05","cited_by_count":4,"area":"moe"},{"id":"2503.14655","title":"Core-Periphery Principle Guided State Space Model for Functional Connectome Classification","created":"2025-03-18","cited_by_count":4,"area":"moe"},{"id":"2507.04638","title":"UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification","created":"2025-07-07","cited_by_count":4,"area":null},{"id":"2509.25678","title":"Massively Multimodal Foundation Models: A Framework for Capturing Interactions with Specialized Mixture-of-Experts","created":"2025-09-30","cited_by_count":4,"area":"moe"},{"id":"2505.19525","title":"Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate","created":"2025-05-26","cited_by_count":3,"area":"moe"},{"id":"2506.06406","title":"SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities","created":"2025-06-06","cited_by_count":3,"area":"mllm"},{"id":"2511.12034","title":"Calibrated Multimodal Representation Learning with Missing Modalities","created":"2025-11-15","cited_by_count":3,"area":null},{"id":"2505.04880","title":"Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization","created":"2025-05-08","cited_by_count":2,"area":"lr"},{"id":"2506.10157","title":"One Patient, Many Contexts: Scaling Medical AI with Contextual Intelligence","created":"2025-06-11","cited_by_count":2,"area":"mllm"},{"id":"2507.20872","title":"Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease","created":"2025-07-28","cited_by_count":2,"area":null},{"id":"2509.25889","title":"Multimodal LLM With Hierarchical Mixture-of-Experts for VQA on 3D Brain MRI","created":"2025-09-30","cited_by_count":2,"area":"mllm"},{"id":"2511.11460","title":"Rethinking Efficient Mixture-of-Experts for Remote Sensing Modality-Missing Classification","created":"2025-11-14","cited_by_count":2,"area":"moe"},{"id":"2512.18279","title":"UniMPR: A Unified Framework for Multimodal Place Recognition with Heterogeneous Sensor Configurations","created":"2025-12-20","cited_by_count":2,"area":null},{"id":"2603.25322","title":"AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study","created":"2026-03-26","cited_by_count":2,"area":"agents"},{"id":"2606.06285","title":"TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models","created":"2026-06-04","cited_by_count":2,"area":null},{"id":"2505.18455","title":"On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts","created":"2025-05-24","cited_by_count":1,"area":"moe"},{"id":"2509.12234","title":"Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression Prediction","created":"2025-09-08","cited_by_count":1,"area":"moe"},{"id":"2509.19980","title":"RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis","created":"2025-09-24","cited_by_count":1,"area":"rag"},{"id":"2602.18990","title":"IDSelect: A RL-Based Cost-Aware Selection Agent for Video-based Multi-Modal Person Recognition","created":"2026-02-22","cited_by_count":1,"area":"deeprl"},{"id":"2603.00046","title":"REMIND: Rethinking Medical High-Modality Learning under Missingness--A Long-Tailed Distribution Perspective","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2603.19308","title":"GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space","created":"2026-03-13","cited_by_count":1,"area":null},{"id":"2604.08971","title":"Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference","created":"2026-04-10","cited_by_count":1,"area":null},{"id":"2607.09982","title":"Multimodal Routing for Interpretable, Robust, and Auditable Clinical Prediction","created":"2026-07-10","cited_by_count":1,"area":null},{"id":"2607.24701","title":"Spatio-Temporal Conditional Denoising Transformer for Modality-Missing RGBT Tracking","created":"2026-07-27","cited_by_count":1,"area":null},{"id":"2505.23184","title":"Two Is Better Than One: Rotations Scale LoRAs","created":"2025-05-29","cited_by_count":0,"area":"moe"},{"id":"2506.22901","title":"Missing-Modality-Aware Graph Neural Network for Cancer Classification","created":"2025-06-28","cited_by_count":0,"area":null},{"id":"2508.18551","title":"BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration","created":"2025-08-25","cited_by_count":0,"area":"moe"},{"id":"2511.11623","title":"Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Data","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2511.17400","title":"Sparse Mixture-of-Experts for Multi-Channel Imaging: Are All Channel Interactions Required?","created":"2025-11-21","cited_by_count":0,"area":"moe"},{"id":"2512.08697","title":"What really matters for person re-identification? A Mixture-of-Experts Framework for Semantic Attribute Importance","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2512.10966","title":"Interpretable Alzheimer's Diagnosis via Multimodal Fusion of Regional Brain Experts","created":"2025-11-30","cited_by_count":0,"area":"moe"},{"id":"2512.21707","title":"Spatiotemporal-Untrammelled Mixture of Experts for Multi-Person Motion Prediction","created":"2025-12-25","cited_by_count":0,"area":"moe"},{"id":"2602.00939","title":"Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity","created":"2026-01-31","cited_by_count":0,"area":"moe"},{"id":"2602.01466","title":"Rethinking Multinomial Logistic Mixture of Experts with Sigmoid Gating Function","created":"2026-02-01","cited_by_count":0,"area":"lr"},{"id":"2602.08755","title":"Align and Adapt: Multimodal Multiview Human Activity Recognition under Arbitrary View Combinations","created":"2026-02-09","cited_by_count":0,"area":"moe"},{"id":"2602.23614","title":"When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2604.08936","title":"M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model","created":"2026-04-10","cited_by_count":0,"area":"moe"},{"id":"2604.17028","title":"IMA-MoE: An Interpretable Modality-Aware Mixture-of-Experts Framework for Characterizing the Neurobiological Signatures of Binge Eating Disorder","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2604.17030","title":"Conditional Evidence Reconstruction and Decomposition for Interpretable Multimodal Diagnosis","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2604.23112","title":"Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning","created":"2026-04-25","cited_by_count":0,"area":null},{"id":"2605.03348","title":"Toward Structural Multimodal Representations: Specialization, Selection, and Sparsification via Mixture-of-Experts","created":"2026-05-05","cited_by_count":0,"area":"moe"},{"id":"2605.08585","title":"PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.13059","title":"BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.13081","title":"PRA-PoE: Robust Multimodal Alzheimer's Diagnosis with Arbitrary Missing Modalities","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.15235","title":"MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.18837","title":"VCR: Learning Valid Contextual Representation for Incomplete Wearable Signals","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.27431","title":"Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey","created":"2026-05-22","cited_by_count":0,"area":"moe"},{"id":"2606.06328","title":"PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data","created":"2026-06-04","cited_by_count":0,"area":"diffusion"},{"id":"2606.09907","title":"LongMoE: Longitudinal Multimodal Learning via Trajectory-Aware Mixture-of-Experts","created":"2026-06-06","cited_by_count":0,"area":"moe"},{"id":"2606.20757","title":"Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.25665","title":"Learning Subset-Shared Invariances for Domain Generalization with Mixture-of-Experts","created":"2026-06-24","cited_by_count":0,"area":"moe"},{"id":"2606.30355","title":"Residual-Guided Expert Specialization for Incomplete Multimodal Learning","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.08778","title":"iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis","created":"2026-06-12","cited_by_count":0,"area":"moe"},{"id":"2608.09240","title":"Multimodal Federated Learning under Dual-Axis Modality Missingness","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.13911","title":"MedMix: Specialization-Consistent Federated Sparse MoEs under Modality Heterogeneity","created":"2026-08-14","cited_by_count":0,"area":"moe"},{"id":"2608.15261","title":"Boundary-Aligned Contribution Routing for Robust Optical--SAR Object Detection","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2609.16962","title":"Affect-Prototype Guided Fusion for Open-Vocabulary Incomplete Multi-modal Emotion Recognition","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.28836","title":"M$^2$PFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.04792","title":"Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}