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Found 8 papers, 3 papers with code
PDNNet: PDN-Aware GNN-CNN Heterogeneous Network for Dynamic IR Drop Prediction
We are the first work to apply graph structure to deep-learning based dynamic IR drop prediction method.
UAS-based Automated Structural Inspection Path Planning via Visual Data Analytics and Optimization
This paper presents an effective formulation for the path planning problem in the context of structural inspections.
ROMO: Retrieval-enhanced Offline Model-based Optimization
Data-driven black-box model-based optimization (MBO) problems arise in a great number of practical application scenarios, where the goal is to find a design over the whole space maximizing a black-box target function based on a static offline dataset.
HybridNet: Dual-Branch Fusion of Geometrical and Topological Views for VLSI Congestion Prediction
Accurate early congestion prediction can prevent unpleasant surprises at the routing stage, playing a crucial character in assisting designers to iterate faster in VLSI design cycles.
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
The electronic design automation (EDA) community has been actively exploring machine learning (ML) for very large-scale integrated computer-aided design (VLSI CAD).
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
Long-range and short-range temporal modeling are two complementary and crucial aspects of video recognition.
Ranked #6 on
Action Recognition
on ActivityNet
Good Practices and A Strong Baseline for Traffic Anomaly Detection
In this paper, we propose a straightforward and efficient framework that includes pre-processing, a dynamic track module, and post-processing.
EIC Physics from An All-Silicon Tracking Detector
The proposed electron-ion collider has a rich physics program to study the internal structure of protons and heavy nuclei.
Nuclear Experiment Nuclear Theory
