Seguir
Naresh Ravichandran
Naresh Ravichandran
Otros nombresNaresh Balaji Ravichandran
Dirección de correo verificada de kth.se - Página principal
Título
Citado por
Citado por
Año
Learning representations in Bayesian Confidence Propagation neural networks
NB Ravichandran, A Lansner, P Herman
International Joint Conference on Neural Networks (IJCNN) 2020, 2020
202020
Brain-like approaches to unsupervised learning of hidden representations - a comparative study
NB Ravichandran, A Lansner, P Herman
International Conference on Artificial Neural Networks (ICANN) 2021, 2021
172021
A Control Strategy for an Autonomous Robotic Vacuum Cleaner for Solar Panels
G Aravind, G Vasan, TSBG Kumar, RN Balaji, GS Ilango
2014 Texas Instruments India Educators' Conference (TIIEC), 53-61, 2014
132014
Autonomous visual tracking and landing of a quadrotor on a moving platform
J Ajmera, PR Siddharthan, KM Ramaravind, G Vasan, N Balaji, ...
2015 Third International Conference on Image Information Processing (ICIIP …, 2015
82015
Pedestrian simulation as multi-objective reinforcement learning
NB Ravichandran, F Yang, C Peters, A Lansner, P Herman
18th International Conference on Intelligent Virtual Agents (IVA), 307-312, 2018
72018
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
A Podobas, M Svedin, SWD Chien, IB Peng, NB Ravichandran, P Herman, ...
Highly Efficient Accelerators and Reconfigurable Technologies (HEART 2021), 1-6, 2021
62021
Semi-supervised learning with Bayesian Confidence Propagation Neural Network
NB Ravichandran, A Lansner, P Herman
European Symposium on Artificial Neural Networks (ESANN) 2021, 2021
52021
Spiking neural networks with Hebbian plasticity for unsupervised representation learning
N Ravichandran, A Lansner, P Herman
European Symposium on Artificial Neural Networks (ESANN) 2023, 2023
12023
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
NB Ravichandran, A Lansner, P Herman
Machine Learning, Optimization, and Data Science (LOD) 2022, 2023
12023
Benchmarking Hebbian learning rules for associative memory
A Lansner, NB Ravichandran, P Herman
arXiv preprint arXiv:2401.00335, 2023
2023
Unsupervised Representation Learning with Hebbian Synaptic and Structural Plasticity in Brain-Like Feedforward Neural Networks
N Ravichandran, A Lansner, P Herman
Available at SSRN 4613605, 2023
2023
Associative memory and deep learning with Hebbian synaptic and structural plasticity
N Ravichandran, A Lansner, P Herman
ICML Workshop on Localized Learning (LLW) 2023, 2023
2023
Modelling homeostatic regulation in multi-objective decision-making
NB Ravichandran
KTH Royal Institute of Technology, 2018
2018
Scalability and Optimization Strategies for GPU Enhanced Neural Networks (GeNN)
N Balaji, E Yavuz, T Nowotny
arXiv preprint arXiv:1412.0595, 2014
2014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–14