Image de couverture de livre

Probabilistic Metaplasticity for Continual Learning with Memristors

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zohora, Fatima Tuz, Karia, Vedant, Soures, Nicholas, Kudithipudi, Dhireesha
Format:	Preprint
Publié:	2024
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning
par: Karia, Vedant, et autres
Publié: (2025)

Continual Learning and Catastrophic Forgetting
par: van de Ven, Gido M., et autres
Publié: (2024)

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
par: Soures, Nicholas, et autres
Publié: (2024)

Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System
par: Zyarah, Abdullah M., et autres
Publié: (2024)

Watch Your Step: Optimal Retrieval for Continual Learning at Scale
par: Hickok, Truman, et autres
Publié: (2024)

Temporal Chunking Enhances Recognition of Implicit Sequential Patterns
par: Dey, Jayanta, et autres
Publié: (2025)

Minion Gated Recurrent Unit for Continual Learning
par: Zyarah, Abdullah M., et autres
Publié: (2025)

M2RU: Memristive Minion Recurrent Unit for On-Chip Continual Learning at the Edge
par: Zyarah, Abdullah M., et autres
Publié: (2025)

A Dual-Memory Ferroelectric Transistor Emulating Synaptic Metaplasticity for High-Speed Reservoir Computing
par: Wang, Yifan, et autres
Publié: (2025)

Learning Nonlinear Continuous-Time Systems for Formal Uncertainty Propagation and Probabilistic Evaluation
par: Amorese, Peter, et autres
Publié: (2026)

Memristors based Computation and Synthesis
par: Gupta, Prashant, et autres
Publié: (2024)

Voltage Mode Winner-Take-All Circuit for Neuromorphic Systems
par: Zyarah, Abdullah M., et autres
Publié: (2025)

An Ion-Intercalation Memristor for Enabling Full Parallel Writing in Crossbar Networks
par: Zhang, Tingwei, et autres
Publié: (2026)

Voltage-Controlled Oscillator and Memristor-Based Analog Computing for Solving Systems of Linear Equations
par: Li, Hao, et autres
Publié: (2025)

Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment
par: Grimstad, Joachim, et autres
Publié: (2024)

From Global to Local: Hierarchical Probabilistic Verification for Reachability Learning
par: Smith, Ebonye, et autres
Publié: (2026)

Probabilistic Robustness in the Gap Metric
par: Renganathan, Venkatraman
Publié: (2025)

Probabilistic reachable sets of stochastic nonlinear systems with contextual uncertainties
par: Shen, Xun, et autres
Publié: (2024)

Probabilistic Game-Theoretic Traffic Routing
par: Benenati, Emilio, et autres
Publié: (2023)

Pervasive Sensing for Livestock Health and Activity Monitoring: Current Methods and Techniques
par: Shulkin, Jeffrey D, et autres
Publié: (2025)

Long-Range Rendezvous and Docking Maneuver Control of Satellite using Cross-Feedback Sliding Mode Controller
par: Kini, Vedant Vivek, et autres
Publié: (2025)

EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety Assessment
par: Jang, Inkyu, et autres
Publié: (2025)

Probabilistic Reachability Analysis of Multi-scale Voltage Dynamics Using Reinforcement Learning
par: Hashima, Naoki, et autres
Publié: (2026)

Probabilistic Reachability Analysis of Stochastic Control Systems
par: Jafarpour, Saber, et autres
Publié: (2024)

Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
par: Castañeda, Fernando, et autres
Publié: (2022)

Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits
par: Garg, Nikhil, et autres
Publié: (2024)

Probabilistic Simulation of Aircraft Descent via a Physics-Informed Machine Learning Approach
par: Hodgkin, Amy, et autres
Publié: (2025)

Convergent Weight and Activation Dynamics in Memristor Neural Networks
par: Di Marco, Mauro, et autres
Publié: (2025)

Solution of the Probabilistic Lambert's Problem: Optimal Transport Approach
par: Teter, Alexis M. H., et autres
Publié: (2024)

Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems
par: Liu, Zishun, et autres
Publié: (2024)

Probabilistic Assessment of Rare Transient Instability Events via Kriging-based Active Learning Framework
par: Liu, Jingyu, et autres
Publié: (2026)

Probabilistic State Estimation of Timed Probabilistic Discrete Event Systems via Artificial Neural Networks [Draft Version]
par: Amri, Omar, et autres
Publié: (2025)

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
par: Remy, Isaac, et autres
Publié: (2026)

Probabilistically Robust Uncertainty Analysis and Optimal Control of Continuous Lyophilization via Polynomial Chaos Theory
par: Srisuma, Prakitr, et autres
Publié: (2025)

Probabilistic Trajectory Design Via Approximate Gaussian Mixture Steering
par: Fife, William, et autres
Publié: (2024)

Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
par: Wang, Zhuoyuan, et autres
Publié: (2024)

Stereographic Projection of Probabilistic Frequency-Domain Uncertainty
par: Nystrom, Anton, et autres
Publié: (2024)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
par: Cordiano, Francesco, et autres
Publié: (2025)

Probabilistic Reachable Set Estimation for Saturated Systems with Unbounded Additive Disturbances
par: Karam, Carlo, et autres
Publié: (2025)

Optimal Parameter Design for Power Electronic Converters Using a Probabilistic Learning-Based Stochastic Surrogate Model
par: Mahajan, Akash, et autres
Publié: (2025)