Arna Ghosh

According to our database, Arna Ghosh authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Addressing Sample Inefficiency in Multi-View Representation Learning.

Kumar Krishna Agrawal, Arna Ghosh, Adam Oberman, Blake A. Richards

CoRR, 2023

Synaptic Weight Distributions Depend on the Geometry of Plasticity.

Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A. Richards

CoRR, 2023

Learning better with Dale's Law: A Spectral Perspective.

Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake A. Richards

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How gradient estimator variance and bias impact learning in neural networks.

Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P. Körding, Blake Aaron Richards

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Investigating Power laws in Deep Representation Learning.

Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards

CoRR, 2022

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.

Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.

Kumar Krishna Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake A. Richards

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques.

Alba Xifra Porxas, Arna Ghosh, Georgios D. Mitsis, Marie-Hélène Boudrias

NeuroImage, 2021

CCN GAC Workshop: Issues with learning in biological recurrent neural networks.

Luke Y. Prince, Ellen Boven, Roy Henha Eyono, Arna Ghosh, Joe Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Blake A. Richards, Cristina Savin, Katharina Anna Wilmes

CoRR, 2021

2018

Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis.

Arna Ghosh, Fabien Dal Maso, Marc Roig, Georgios D. Mitsis, Marie-Hélène Boudrias

CoRR, 2018

AdGAP: Advanced Global Average Pooling.

Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Training Autoencoders in Sparse Domain.

Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

SIMILARnet: Simultaneous Intelligent Localization and Recognition Network.

Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury

CoRR, 2017

Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer.

Arna Ghosh, Satyarth Singh, Debdoot Sheet

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

Handwriting Profiling Using Generative Adversarial Networks.

Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

DeepVO: A Deep Learning approach for Monocular Visual Odometry.

Vikram Mohanty, Shubh Agrawal, Shaswat Datta, Arna Ghosh, Vishnu Dutt Sharma, Debashish Chakravarty

CoRR, 2016

SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks.

Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury

CoRR, 2016