| Deepvo: A deep learning approach for monocular visual odometry V Mohanty, S Agrawal, S Datta, A Ghosh, VD Sharma, D Chakravarty arXiv preprint arXiv:1611.06069, 2016 | 92 | 2016 |
| Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques A Xifra-Porxas*, A Ghosh*, GD Mitsis, MH Boudrias NeuroImage 231, 117822, 2021 | 42 | 2021 |
| Sad-gan: Synthetic autonomous driving using generative adversarial networks A Ghosh*, B Bhattacharya*, SBR Chowdhury* arXiv preprint arXiv:1611.08788, 2016 | 35 | 2016 |
| Simultaneous localization and classification of acute lymphoblastic leukemic cells in peripheral blood smears using a deep convolutional network with average pooling layer A Ghosh, S Singh, D Sheet 2017 IEEE international conference on industrial and information systems …, 2017 | 23 | 2017 |
| -ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay KK Agrawal*, AK Mondal*, A Ghosh*, B Richards Advances in Neural Information Processing Systems 35, 17626-17638, 2022 | 21 | 2022 |
| Investigating power laws in deep representation learning A Ghosh*, AK Mondal*, KK Agrawal*, B Richards arXiv preprint arXiv:2202.05808, 2022 | 21 | 2022 |
| Handwriting profiling using generative adversarial networks A Ghosh*, B Bhattacharya*, SBR Chowdhury* Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 21 | 2017 |
| Current state and future directions for learning in biological recurrent neural networks: A perspective piece RH Eyono, E Boven, A Ghosh, J Pemberton, F Scherr, C Clopath, ... Neurons, Behavior, Data analysis, and Theory 2022 (1), 2022 | 14* | 2022 |
| Deep semantic architecture with discriminative feature visualization for neuroimage analysis A Ghosh, F Maso, M Roig, GD Mitsis, MH Boudrias arXiv preprint arXiv:1805.11704, 2018 | 9 | 2018 |
| Adgap: Advanced global average pooling A Ghosh, B Bhattacharya*, SBR Chowdhury* Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 8 | 2018 |
| Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules YH Liu, A Ghosh, B Richards, E Shea-Brown, G Lajoie Advances in Neural Information Processing Systems 35, 23077-23097, 2022 | 7 | 2022 |
| Learning better with Dale’s Law: A spectral perspective P Li*, J Cornford*, A Ghosh, B Richards Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| The feature landscape of visual cortex R Tong, R da Silva, D Lin, A Ghosh, J Wilsenach, E Cianfarano, ... bioRxiv, 2023.11. 03.565500, 2023 | 6 | 2023 |
| How gradient estimator variance and bias impact learning in neural networks A Ghosh, YH Liu, G Lajoie, K Kording, BA Richards The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |
| Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques. NeuroImage, 231, Article 117822 A Xifra-Porxas, A Ghosh, GD Mitsis, MH Boudrias | 5 | 2021 |
| Unfolding the effects of acute cardiovascular exercise on neural correlates of motor learning using convolutional neural networks A Ghosh, F Dal Maso, M Roig, GD Mitsis, MH Boudrias Frontiers in neuroscience 13, 1215, 2019 | 5 | 2019 |
| Synaptic weight distributions depend on the geometry of plasticity R Pogodin, J Cornford, A Ghosh, G Gidel, G Lajoie, B Richards arXiv preprint arXiv:2305.19394, 2023 | 4 | 2023 |
| The effects of the NMDAR co-agonist d-serine on the structure and function of optic tectal neurons in the developing visual system Z Chorghay, VJ Li, A Schohl, A Ghosh, ES Ruthazer Scientific Reports 13 (1), 13383, 2023 | 2* | 2023 |
| Training autoencoders in sparse domain B Bhattacharya, A Ghosh, SBR Chowdhury Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 2 | 2018 |
| Dimensionality and flexibility of learning in biological recurrent neural networks BA Richards, C Clopath, RP Costa, W Maass, LY Prince, A Ghosh, ... | 1 | 2020 |
Blake RichardsMila + McGill University在 mila.quebec 的电子邮件经过验证
