SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks. - Arna Ghosh; Biswarup Bhattacharya; Somnath Basu Roy Chowdhury (CoRR, 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)

Handwriting Profiling Using Generative Adversarial Networks. - Arna Ghosh; Biswarup Bhattacharya; Somnath Basu Roy Chowdhury (AAAI, 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 (ICIIS, 2017)

SIMILARnet: Simultaneous Intelligent Localization and Recognition Network. - Arna Ghosh; Biswarup Bhattacharya; Somnath Basu Roy Chowdhury (CoRR, 2017)

Training Autoencoders in Sparse Domain. - Biswarup Bhattacharya; Arna Ghosh; Somnath Basu Roy Chowdhury (AAAI, 2018)

AdGAP: Advanced Global Average Pooling. - Arna Ghosh; Biswarup Bhattacharya; Somnath Basu Roy Chowdhury (AAAI, 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)

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 001; Blake A. Richards; Cristina Savin; Katharina Anna Wilmes (CoRR, 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)

$ alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay. - Kumar Krishna Agrawal; Arnab Kumar Mondal; Arna Ghosh; Blake A. Richards (NeurIPS, 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 (NeurIPS, 2022)

Investigating Power laws in Deep Representation Learning. - Arna Ghosh; Arnab Kumar Mondal; Kumar Krishna Agrawal; Blake A. Richards (CoRR, 2022)

How gradient estimator variance and bias impact learning in neural networks. - Arna Ghosh; Yuhan Helena Liu; Guillaume Lajoie; Konrad P. Körding; Blake Aaron Richards (ICLR, 2023)

Learning better with Dale's Law: A Spectral Perspective. - Pingsheng Li; Jonathan Cornford; Arna Ghosh; Blake A. Richards (NeurIPS, 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 Aaron Richards (ICLR, 2024)

Learning Successor Features the Simple Way. - Raymond Chua; Arna Ghosh; Christos Kaplanis; Blake A. Richards; Doina Precup (NeurIPS, 2024)

Harnessing small projectors and multiple views for efficient vision pretraining. - Arna Ghosh; Kumar Krishna Agrawal; Shagun Sodhani; Adam Oberman; Blake A. Richards (NeurIPS, 2024)