Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Ji, Xiao, Tianlong, Yang, Jinye, Zhu, Panpan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign
by: Li, Jiahui, et al.
Published: (2026)
by: Li, Jiahui, et al.
Published: (2026)
Revisiting Dynamic Graph Clustering via Matrix Factorization
by: Li, Dongyuan, et al.
Published: (2025)
by: Li, Dongyuan, et al.
Published: (2025)
Faithful and Fast Influence Function via Advanced Sampling
by: Koh, Jungyeon, et al.
Published: (2025)
by: Koh, Jungyeon, et al.
Published: (2025)
Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
by: Afolabi, Halimat, et al.
Published: (2026)
by: Afolabi, Halimat, et al.
Published: (2026)
Beyond Output Faithfulness: Learning Attributions that Preserve Computational Pathways
by: Zhang, Siyu, et al.
Published: (2025)
by: Zhang, Siyu, et al.
Published: (2025)
Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering
by: Zhang, Xu, et al.
Published: (2024)
by: Zhang, Xu, et al.
Published: (2024)
Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation
by: Yang, Qidong, et al.
Published: (2026)
by: Yang, Qidong, et al.
Published: (2026)
Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering
by: Khalafaoui, Yasser, et al.
Published: (2024)
by: Khalafaoui, Yasser, et al.
Published: (2024)
Distributed Clustering based on Distributional Kernel
by: Zhang, Hang, et al.
Published: (2024)
by: Zhang, Hang, et al.
Published: (2024)
Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
by: Maharana, Adyasha, et al.
Published: (2024)
by: Maharana, Adyasha, et al.
Published: (2024)
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025)
by: Zhu, Zhiyu, et al.
Published: (2025)
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
by: Guo, Yuhan, et al.
Published: (2025)
by: Guo, Yuhan, et al.
Published: (2025)
FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness
by: Swaroop, Anand, et al.
Published: (2025)
by: Swaroop, Anand, et al.
Published: (2025)
Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
by: Xu, Zhen, et al.
Published: (2025)
by: Xu, Zhen, et al.
Published: (2025)
Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Bandits with Single-Peaked Preferences and Limited Resources
by: Ben-Porat, Omer, et al.
Published: (2025)
by: Ben-Porat, Omer, et al.
Published: (2025)
FlowTS: Time Series Generation via Rectified Flow
by: Hu, Yang, et al.
Published: (2024)
by: Hu, Yang, et al.
Published: (2024)
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
by: Zheng, Xu, et al.
Published: (2024)
by: Zheng, Xu, et al.
Published: (2024)
TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2025)
by: Zhao, Zhiyuan, et al.
Published: (2025)
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
by: Yang, Xinyu, et al.
Published: (2025)
by: Yang, Xinyu, et al.
Published: (2025)
LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems
by: Li, Haoran, et al.
Published: (2026)
by: Li, Haoran, et al.
Published: (2026)
Peak-Controlled Logits Poisoning Attack in Federated Distillation
by: Tang, Yuhan, et al.
Published: (2024)
by: Tang, Yuhan, et al.
Published: (2024)
Towards Metric-Faithful Neural Graph Matching
by: Shivottam, Jyotirmaya, et al.
Published: (2026)
by: Shivottam, Jyotirmaya, et al.
Published: (2026)
Graph Similarity Computation via Interpretable Neural Node Alignment
by: Wang, Jingjing, et al.
Published: (2024)
by: Wang, Jingjing, et al.
Published: (2024)
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
by: Ping, Siqi, et al.
Published: (2024)
by: Ping, Siqi, et al.
Published: (2024)
Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression
by: Zhang, Ziqi, et al.
Published: (2024)
by: Zhang, Ziqi, et al.
Published: (2024)
Unified Sparse-Matrix Representations for Diverse Neural Architectures
by: Zhu, Yuzhou
Published: (2025)
by: Zhu, Yuzhou
Published: (2025)
Generalized Tree Edit Distance (GTED): A Faithful Evaluation Metric for Statement Autoformalization
by: Liu, Yuntian, et al.
Published: (2025)
by: Liu, Yuntian, et al.
Published: (2025)
Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance
by: Wang, Huibing, et al.
Published: (2024)
by: Wang, Huibing, et al.
Published: (2024)
Universal One-third Time Scaling in Learning Peaked Distributions
by: Liu, Yizhou, et al.
Published: (2026)
by: Liu, Yizhou, et al.
Published: (2026)
Faithful Differentiable Reasoning with Reshuffled Region-based Embeddings
by: Pavlovic, Aleksandar, et al.
Published: (2024)
by: Pavlovic, Aleksandar, et al.
Published: (2024)
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
by: Yue, Linan, et al.
Published: (2024)
by: Yue, Linan, et al.
Published: (2024)
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
by: DatologyAI, et al.
Published: (2026)
by: DatologyAI, et al.
Published: (2026)
Faithful and Stable Neuron Explanations for Trustworthy Mechanistic Interpretability
by: Yan, Ge, et al.
Published: (2025)
by: Yan, Ge, et al.
Published: (2025)
LIMEtree: Consistent and Faithful Surrogate Explanations of Multiple Classes
by: Sokol, Kacper, et al.
Published: (2020)
by: Sokol, Kacper, et al.
Published: (2020)
Graph Sparsification via Mixture of Graphs
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
by: Ma, Xinyu, et al.
Published: (2025)
by: Ma, Xinyu, et al.
Published: (2025)
REFN: A Reinforcement-Learning-From-Network Framework against 1-day/n-day Exploitations
by: Yu, Tianlong, et al.
Published: (2025)
by: Yu, Tianlong, et al.
Published: (2025)
Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
Similar Items
-
Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign
by: Li, Jiahui, et al.
Published: (2026) -
Revisiting Dynamic Graph Clustering via Matrix Factorization
by: Li, Dongyuan, et al.
Published: (2025) -
Faithful and Fast Influence Function via Advanced Sampling
by: Koh, Jungyeon, et al.
Published: (2025) -
Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
by: Afolabi, Halimat, et al.
Published: (2026) -
Beyond Output Faithfulness: Learning Attributions that Preserve Computational Pathways
by: Zhang, Siyu, et al.
Published: (2025)