Cover Image

Fast ML-driven Analog Circuit Layout using Reinforcement Learning and Steiner Trees

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Basso, Davide, Bortolussi, Luca, Videnovic-Misic, Mirjana, Habal, Husni
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024)

Advancing Routing-Awareness in Analog ICs Floorplanning
by: Basso, Davide, et al.
Published: (2025)

Enhancing Reinforcement Learning for the Floorplanning of Analog ICs with Beam Search
by: Della Rovere, Sandro Junior, et al.
Published: (2025)

FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
by: Mehradfar, Asal, et al.
Published: (2025)

Graph-Conditional Flow Matching for Relational Data Generation
by: Scassola, Davide, et al.
Published: (2025)

Retrieval-Augmented Mining of Temporal Logic Specifications from Data
by: Saveri, Gaia, et al.
Published: (2024)

A Sobering Look at Tabular Data Generation via Probabilistic Circuits
by: Scassola, Davide, et al.
Published: (2026)

OSIRIS: Bridging Analog Circuit Design and Machine Learning with Scalable Dataset Generation
by: Chiari, Giuseppe, et al.
Published: (2026)

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)

CoCAI: Copula-based Conformal Anomaly Identification for Multivariate Time-Series
by: Pearson, Nicholas A., et al.
Published: (2025)

MazeNet: An Accurate, Fast, and Scalable Deep Learning Solution for Steiner Minimum Trees
by: Ramos, Gabriel Díaz, et al.
Published: (2024)

A CNN-Based Technique to Assist Layout-to-Generator Conversion for Analog Circuits
by: Jeong, Sungyu, et al.
Published: (2025)

AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning
by: Guo, Felicia B., et al.
Published: (2026)

Timeseria: an object-oriented time series processing library
by: Russo, Stefano Alberto, et al.
Published: (2024)

Assessing reliability of explanations in unbalanced datasets: a use-case on the occurrence of frost events
by: Vascotto, Ilaria, et al.
Published: (2025)

Diffusion-based Time Series Forecasting for Sewerage Systems
by: Pearson, Nicholas A., et al.
Published: (2025)

Towards Interpretable Concept Learning over Time Series via Temporal Logic Semantics
by: Ferfoglia, Irene, et al.
Published: (2025)

Guided by Stars: Interpretable Concept Learning Over Time Series via Temporal Logic Semantics
by: Ferfoglia, Irene, et al.
Published: (2025)

When Can You Trust Your Explanations? A Robustness Analysis on Feature Importances
by: Vascotto, Ilaria, et al.
Published: (2024)

Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
by: Theißinger, Lukas, et al.
Published: (2026)

Beyond single-model XAI: aggregating multi-model explanations for enhanced trustworthiness
by: Vascotto, Ilaria, et al.
Published: (2025)

Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies
by: Fan, Junchao, et al.
Published: (2024)

GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs
by: Onal, Bugra, et al.
Published: (2024)

HeurekaBench: A Benchmarking Framework for AI Co-scientist
by: Panigrahi, Siba Smarak, et al.
Published: (2026)

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)

ECATS: Explainable-by-design concept-based anomaly detection for time series
by: Ferfoglia, Irene, et al.
Published: (2024)

AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI
by: Li, Qiufeng, et al.
Published: (2025)

Exploiting Function-Family Structure in Analog Circuit Optimization
by: Liu, Zhuohua, et al.
Published: (2025)

AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMs
by: Lai, Yao, et al.
Published: (2025)

Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets
by: Palacios, Milton Nicolás Plasencia, et al.
Published: (2025)

Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)

KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
by: Xu, Peng, et al.
Published: (2026)

AnalogCoder: Analog Circuit Design via Training-Free Code Generation
by: Lai, Yao, et al.
Published: (2024)

AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies
by: Gao, Jian, et al.
Published: (2025)

Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits
by: Xu, Qi, et al.
Published: (2023)

Fast Compute for ML Optimization
by: Polson, Nick, et al.
Published: (2026)

LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
by: Chen, Guojin, et al.
Published: (2024)

Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic
by: Bonin, Lorenzo, et al.
Published: (2026)

Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
by: Kim, Junseok, et al.
Published: (2026)

GLOVA: Global and Local Variation-Aware Analog Circuit Design with Risk-Sensitive Reinforcement Learning
by: Kim, Dongjun, et al.
Published: (2025)