:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wei, Ziming, Kong, Zichen, Wang, Yuan, Pan, David Z., Tang, Xiyuan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.14169
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM-based AI Agent for Sizing of Analog and Mixed Signal Circuit
by: Liu, Chang, et al.
Published: (2025)

TopoBench: A Framework for Benchmarking Topological Deep Learning
by: Telyatnikov, Lev, et al.
Published: (2024)

EEsizer: LLM-Based AI Agent for Sizing of Analog and Mixed Signal Circuit
by: Liu, Chang, et al.
Published: (2025)

AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing
by: Ahmadzadeh, Mohsen, et al.
Published: (2025)

TopoPrimer: The Missing Topological Context in Forecasting Models
by: Zetlin, Zara, et al.
Published: (2026)

TopoGCL: Topological Graph Contrastive Learning
by: Chen, Yuzhou, et al.
Published: (2024)

TopoCL: Topological Contrastive Learning for Time Series
by: Kim, Namwoo, et al.
Published: (2025)

FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions
by: Hu, Ke, et al.
Published: (2025)

LLM-USO: Large Language Model-based Universal Sizing Optimizer
by: S, Karthik Somayaji N., et al.
Published: (2025)

Mixture of Diverse Size Experts
by: Sun, Manxi, et al.
Published: (2024)

TopoAlign: Topology-Aware Visual Representation Alignment
by: Yan, Xinyuan, et al.
Published: (2026)

Understanding Domain-Size Generalization in Markov Logic Networks
by: Chen, Florian, et al.
Published: (2024)

Graph as Point Set
by: Wang, Xiyuan, et al.
Published: (2024)

Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick
by: Wang, Xiyuan, et al.
Published: (2023)

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
by: Wang, Hanrui, et al.
Published: (2020)

Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
by: Hussain, Mohyeu, et al.
Published: (2026)

AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuits
by: Shi, Yichen, et al.
Published: (2025)

TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures
by: Chen, Hongrui, et al.
Published: (2026)

TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
by: Hossain, Jumman, et al.
Published: (2024)

TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair
by: Qi, Haomin, et al.
Published: (2026)

Learning-driven Physically-aware Large-scale Circuit Gate Sizing
by: Ye, Yuyang, et al.
Published: (2024)

Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs
by: Kong, Lecheng, et al.
Published: (2025)

TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training
by: Yang, Jinluan, et al.
Published: (2026)

Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
by: McCabe, Lucas H., et al.
Published: (2025)

HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization
by: Poddar, Souradip, et al.
Published: (2025)

Unveiling Scaling Behaviors in Molecular Language Models: Effects of Model Size, Data, and Representation
by: Xu, Dong, et al.
Published: (2026)

Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
by: Jacot, Arthur
Published: (2025)

Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation
by: Yuan, Peiwen, et al.
Published: (2025)

GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory
by: Baek, David D., et al.
Published: (2024)

Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
by: Chen, Xuanyu, et al.
Published: (2025)

TopoReformer: Mitigating Adversarial Attacks Using Topological Purification in OCR Models
by: Kumar, Bhagyesh, et al.
Published: (2025)

TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)

From Small to Large: Generalization Bounds for Transformers on Variable-Size Inputs
by: Alokhina, Anastasiia, et al.
Published: (2025)

TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior
by: Yang, Sen, et al.
Published: (2024)

Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment
by: Sun, Yingchuan, et al.
Published: (2025)

LightTopoGAT: Enhancing Graph Attention Networks with Topological Features for Efficient Graph Classification
by: Sharma, Ankit, et al.
Published: (2025)

TopoFR: A Closer Look at Topology Alignment on Face Recognition
by: Dan, Jun, et al.
Published: (2024)

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling
by: Guan, Zhong, et al.
Published: (2024)

Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey
by: Jia, Yiyang, et al.
Published: (2024)

TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
by: Gorski, Nathaniel, et al.
Published: (2026)