A neural temporal model for human motion prediction A Gopalakrishnan, A Mali, D Kifer, L Giles, AG Ororbia CVPR 2019, 2019 | 177 | 2019 |
Mindstorms in natural language-based societies of mind M Zhuge, H Liu, F Faccio, DR Ashley, R Csordás, A Gopalakrishnan, ... arXiv preprint arXiv:2305.17066, 2023 | 47 | 2023 |
Unsupervised Object Keypoint Learning using Local Spatial Predictability A Gopalakrishnan, S van Steenkiste, J Schmidhuber ICLR 2021, 2021 | 31 | 2021 |
Optic disc segmentation using circular Hough transform and curve fitting A Gopalakrishnan, A Almazroa, K Raahemifar, V Lakshminarayanan IEM OPTRONIX 2015, 2015 | 26 | 2015 |
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers A Gopalakrishnan, K Irie, J Schmidhuber, S van Steenkiste Neural Computation 35 (4), 593-626, 2023 | 16* | 2023 |
Contrastive Training of Complex-Valued Autoencoders for Object Discovery A Stanić*, A Gopalakrishnan*, K Irie, J Schmidhuber NeurIPS 2023, 2023 | 7 | 2023 |
Exploring the Promise and Limits of Real-Time Recurrent Learning K Irie, A Gopalakrishnan, J Schmidhuber ICLR 2024, 2024 | 6 | 2024 |
Unsupervised Musical Object Discovery from Audio J Gha, V Herrmann, B Grewe, J Schmidhuber, A Gopalakrishnan Machine Learning for Audio workshop, NeurIPS 2023, 2023 | 1 | 2023 |
Feature selection and model optimization for semi-supervised speaker spotting SR Chetupalli, A Gopalakrishnan, TV Sreenivas EUSIPCO 2016, 2016 | 1 | 2016 |
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery A Gopalakrishnan, A Stanić, J Schmidhuber, MC Mozer arXiv preprint arXiv:2405.17283, 2024 | | 2024 |
Comparison of low-dimension speech segment embeddings: Application to speaker diarization SR Chetupalli, TV Sreenivas, A Gopalakrishnan National Conference on Communications (NCC), 2019 | | 2019 |