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ORCIDArna Ghosh
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2020 – today
- 2024
[c9]Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake Aaron Richards:
Synaptic Weight Distributions Depend on the Geometry of Plasticity. ICLR 2024- 2023
- [c8]Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P. Körding, Blake Aaron Richards:
How gradient estimator variance and bias impact learning in neural networks. ICLR 2023 - [c7]Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake A. Richards:
Learning better with Dale's Law: A Spectral Perspective. NeurIPS 2023 - [i10]Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A. Richards:
Synaptic Weight Distributions Depend on the Geometry of Plasticity. CoRR abs/2305.19394 (2023) - [i9]Kumar Krishna Agrawal, Arna Ghosh, Adam Oberman, Blake A. Richards:
Addressing Sample Inefficiency in Multi-View Representation Learning. CoRR abs/2312.10725 (2023) - 2022
- [c6]Kumar Krishna Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake A. Richards:
$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay. NeurIPS 2022 - [c5]Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie:
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. NeurIPS 2022 - [i8]Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards:
Investigating Power laws in Deep Representation Learning. CoRR abs/2202.05808 (2022) - [i7]Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie:
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. CoRR abs/2206.00823 (2022) - 2021
- [j1]Alba Xifra Porxas
, Arna Ghosh, Georgios D. Mitsis, Marie-Hélène Boudrias:
Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques. NeuroImage 231: 117822 (2021) - [i6]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:
CCN GAC Workshop: Issues with learning in biological recurrent neural networks. CoRR abs/2105.05382 (2021)
2010 – 2019
- 2018
- [c4]Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury:
Training Autoencoders in Sparse Domain. AAAI 2018: 8049-8050 - [c3]Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
AdGAP: Advanced Global Average Pooling. AAAI 2018: 8081-8082 - [i5]Arna Ghosh, Fabien Dal Maso, Marc Roig, Georgios D. Mitsis, Marie-Hélène Boudrias:
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis. CoRR abs/1805.11704 (2018) - 2017
- [c2]Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
Handwriting Profiling Using Generative Adversarial Networks. AAAI 2017: 4927-4928 - [c1]Arna Ghosh, Satyarth Singh, Debdoot Sheet:
Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer. ICIIS 2017: 1-6 - [i4]Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
SIMILARnet: Simultaneous Intelligent Localization and Recognition Network. CoRR abs/1711.02831 (2017) - 2016
- [i3]Vikram Mohanty, Shubh Agrawal, Shaswat Datta, Arna Ghosh, Vishnu Dutt Sharma, Debashish Chakravarty:
DeepVO: A Deep Learning approach for Monocular Visual Odometry. CoRR abs/1611.06069 (2016) - [i2]Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks. CoRR abs/1611.08788 (2016) - [i1]Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
Handwriting Profiling using Generative Adversarial Networks. CoRR abs/1611.08789 (2016)
Coauthor Index
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