:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yiting, Zhou, Hai, Wang, Jia, Yang, Fan, Zeng, Xuan, Shang, Li
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.17632
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recursive Learning-Based Virtual Buffering for Analytical Global Placement
by: Kahng, Andrew B., et al.
Published: (2025)

Frequency-aware Graph Signal Processing for Collaborative Filtering
by: Xia, Jiafeng, et al.
Published: (2024)

Chip Placement with Diffusion Models
by: Lee, Vint, et al.
Published: (2024)

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design
by: Nazzal, Mahmoud, et al.
Published: (2025)

FlowPlace: Flow Matching for Chip Placement
by: Xie, Peng, et al.
Published: (2026)

Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
by: Wang, Tianze, et al.
Published: (2022)

An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training
by: Xiao, Youshao, et al.
Published: (2023)

Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
by: Qian, Zhenyu, et al.
Published: (2024)

DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation
by: Zhong, Shuzhang, et al.
Published: (2026)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
by: Hu, Jia, et al.
Published: (2024)

How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals
by: Liu, Feng, et al.
Published: (2025)

Graph Filters for Signal Processing and Machine Learning on Graphs
by: Isufi, Elvin, et al.
Published: (2022)

FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
by: Wang, Shang, et al.
Published: (2024)

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
by: Xue, Ke, et al.
Published: (2025)

PFed-Signal: An ADR Prediction Model based on Federated Learning
by: Li, Tao, et al.
Published: (2025)

Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
by: Pham, Thuan, et al.
Published: (2024)

The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement
by: Markov, Igor L.
Published: (2023)

Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement
by: Pan, Hongyang, et al.
Published: (2024)

Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring
by: Niresi, Keivan Faghih, et al.
Published: (2025)

Probabilistic Task Parameterization of Tool-Tissue Interaction via Sparse Landmarks Tracking in Robotic Surgery
by: Wang, Yiting, et al.
Published: (2025)

Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery
by: Zhou, Xinliang, et al.
Published: (2025)

Accelerated Evolving Set Processes for Local PageRank Computation
by: Huang, Binbin, et al.
Published: (2025)

FedMuon: Accelerating Federated Learning with Matrix Orthogonalization
by: Liu, Junkang, et al.
Published: (2025)

Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation
by: Gu, Jingwen, et al.
Published: (2025)

DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators
by: Kahng, Andrew B., et al.
Published: (2024)

Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks
by: Li, Sirui, et al.
Published: (2025)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations
by: Han, Kaiqiao, et al.
Published: (2024)

D2D Power Allocation via Quantum Graph Neural Network
by: Le, Tung Giang, et al.
Published: (2025)

Partial GFlowNet: Accelerating Convergence in Large State Spaces via Strategic Partitioning
by: Yu, Xuan, et al.
Published: (2026)

A Novel Unified Extended Matrix for Graph Signal Processing: Theory and Application
by: Zheng, Yunyan, et al.
Published: (2025)

Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
by: Xiao, Chunjing, et al.
Published: (2024)

ESTformer: Transformer utilising spatiotemporal dependencies for electroencephalogram super-resolution
by: Li, Dongdong, et al.
Published: (2023)

SE-MLP Model for Predicting Prior Acceleration Features in Penetration Signals
by: Li, Yankang, et al.
Published: (2025)

Nesterov-Accelerated Robust Federated Learning Over Byzantine Adversaries
by: Xu, Lihan, et al.
Published: (2025)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
by: Meng, Zizhuo, et al.
Published: (2024)

EPIM: Efficient Processing-In-Memory Accelerators based on Epitome
by: Wang, Chenyu, et al.
Published: (2023)

Efficient Graph Condensation via Gaussian Process
by: Wang, Lin, et al.
Published: (2025)

Informative Graph Structure Learning
by: Han, Shen, et al.
Published: (2026)

Beyond Activation Patterns: A Weight-Based Out-of-Context Explanation of Sparse Autoencoder Features
by: Liu, Yiting, et al.
Published: (2026)