Copertina

Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kresse, Fabian, Lampert, Christoph H.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Hardware Architecture Symbolic Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

aLEAKator: HDL Mixed-Domain Simulation for Masked Hardware \& Software Formal Verification
di: Amiot, Noé, et al.
Pubblicazione: (2025)

HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
di: Bhattacharjya, Rajat, et al.
Pubblicazione: (2025)

Views: a hardware-friendly graph database model for storing semantic information
di: Yang, Yanjun, et al.
Pubblicazione: (2025)

TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
di: Duan, Shengyu, et al.
Pubblicazione: (2026)

FuncGNN: Learning Functional Semantics of Logic Circuits with Graph Neural Networks
di: Zhao, Qiyun
Pubblicazione: (2025)

Circuit Transformer: A Transformer That Preserves Logical Equivalence
di: Li, Xihan, et al.
Pubblicazione: (2024)

ShortCircuit: AlphaZero-Driven Circuit Design
di: Tsaras, Dimitrios, et al.
Pubblicazione: (2024)

CircuitVAE: Efficient and Scalable Latent Circuit Optimization
di: Song, Jialin, et al.
Pubblicazione: (2024)

DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations
di: Khan, Sadaf, et al.
Pubblicazione: (2024)

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
di: Zheng, Ziyang, et al.
Pubblicazione: (2025)

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
di: Deng, Chenhui, et al.
Pubblicazione: (2024)

A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA
di: Fang, Wenji, et al.
Pubblicazione: (2025)

BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
di: Miao, Mingkai, et al.
Pubblicazione: (2025)

AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning
di: Li, Chongxiao, et al.
Pubblicazione: (2026)

PICBench: Benchmarking LLMs for Photonic Integrated Circuits Design
di: Wu, Yuchao, et al.
Pubblicazione: (2025)

GraCo -- A Graph Composer for Integrated Circuits
di: Uhlich, Stefan, et al.
Pubblicazione: (2024)

Stuck-at Faults in ReRAM Neuromorphic Circuit Array and their Correction through Machine Learning
di: Sawal, Vedant, et al.
Pubblicazione: (2024)

Graph Neural Networks Based Analog Circuit Link Prediction
di: Pan, Guanyuan, et al.
Pubblicazione: (2025)

DE-HNN: An effective neural model for Circuit Netlist representation
di: Luo, Zhishang, et al.
Pubblicazione: (2024)

PointODE: Lightweight Point Cloud Learning with Neural Ordinary Differential Equations on Edge
di: Sugiura, Keisuke, et al.
Pubblicazione: (2025)

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

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
di: Zhong, Ruizhe, et al.
Pubblicazione: (2024)

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

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

ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings
di: Yang, Xiaomeng, et al.
Pubblicazione: (2025)

ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning
di: Pathak, Tushar Dhananjay
Pubblicazione: (2026)

The prediction of the quality of results in Logic Synthesis using Transformer and Graph Neural Networks
di: Yang, Chenghao, et al.
Pubblicazione: (2022)

Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network
di: Ni, Liwei, et al.
Pubblicazione: (2024)

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning
di: Shen, Chaoyao, et al.
Pubblicazione: (2026)

Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits
di: Sertaridis, Ilias, et al.
Pubblicazione: (2025)

GauS: Differentiable Scheduling Optimization via Gaussian Reparameterization
di: Cai, Yaohui, et al.
Pubblicazione: (2026)

GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment
di: Fang, Wenji, et al.
Pubblicazione: (2025)

Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search
di: Song, Chang Eun, et al.
Pubblicazione: (2025)

DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators
di: Xue, Chenhao, et al.
Pubblicazione: (2025)

STLCG++: A Masking Approach for Differentiable Signal Temporal Logic Specification
di: Kapoor, Parv, et al.
Pubblicazione: (2025)

An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
di: Sekonji, Mohammad Javad, et al.
Pubblicazione: (2026)

DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators
di: Hong, Charles, et al.
Pubblicazione: (2025)

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
di: Chowdhury, Animesh Basak, et al.
Pubblicazione: (2024)

DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
di: Kim, Yoonsung, et al.
Pubblicazione: (2024)

Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights
di: Mehradfar, Asal, et al.
Pubblicazione: (2025)