Arna Ghosh

According to our database1, Arna Ghosh authored at least 18 papers between 2016 and 2024.

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Bibliography

2024
Learning Successor Features the Simple Way.
CoRR, 2024

Synaptic Weight Distributions Depend on the Geometry of Plasticity.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Addressing Sample Inefficiency in Multi-View Representation Learning.
CoRR, 2023

Learning better with Dale's Law: A Spectral Perspective.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Investigating Power laws in Deep Representation Learning.
CoRR, 2022

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.
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.
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.
NeuroImage, 2021

CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
CoRR, 2021

2018
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis.
CoRR, 2018

AdGAP: Advanced Global Average Pooling.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Training Autoencoders in Sparse Domain.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SIMILARnet: Simultaneous Intelligent Localization and Recognition Network.
CoRR, 2017

Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer.
Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

Handwriting Profiling Using Generative Adversarial Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
DeepVO: A Deep Learning approach for Monocular Visual Odometry.
CoRR, 2016

SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks.
CoRR, 2016


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