Arna Ghosh

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Dimensionality Reduction

Visual Odometry

Top Venues

Publications

Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake Aaron Richards
Synaptic Weight Distributions Depend on the Geometry of Plasticity. ICLR (2024)
Kumar Krishna Agrawal, Arna Ghosh, Adam Oberman, Blake A. Richards
Addressing Sample Inefficiency in Multi-View Representation Learning. CoRR (2023)
Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A. Richards
Synaptic Weight Distributions Depend on the Geometry of Plasticity. CoRR (2023)
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)
Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake A. Richards
Learning better with Dale's Law: A Spectral Perspective. NeurIPS (2023)
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 (2022)
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)
Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards
Investigating Power laws in Deep Representation Learning. CoRR (2022)
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)
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 (2021)
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 (2021)
Arna Ghosh, Fabien Dal Maso, Marc Roig, Georgios D. Mitsis, Marie-Hélène Boudrias
Deep Semantic Architecture with discriminative feature visualization for neuroimage analysis. CoRR (2018)
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury
AdGAP: Advanced Global Average Pooling. AAAI (2018)
Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury
Training Autoencoders in Sparse Domain. AAAI (2018)
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)
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury
SIMILARnet: Simultaneous Intelligent Localization and Recognition Network. CoRR (2017)
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury
Handwriting Profiling Using Generative Adversarial Networks. AAAI (2017)
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury
Handwriting Profiling using Generative Adversarial Networks. CoRR (2016)
Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury
SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks. CoRR (2016)
Vikram Mohanty, Shubh Agrawal, Shaswat Datta, Arna Ghosh, Vishnu Dutt Sharma, Debashish Chakravarty
DeepVO: A Deep Learning approach for Monocular Visual Odometry. CoRR (2016)