关注
Anand Gopalakrishnan
Anand Gopalakrishnan
PhD student in Artificial Intelligence, IDSIA
在 idsia.ch 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A neural temporal model for human motion prediction
A Gopalakrishnan, A Mali, D Kifer, L Giles, AG Ororbia
CVPR 2019, 2019
1772019
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
472023
Unsupervised Object Keypoint Learning using Local Spatial Predictability
A Gopalakrishnan, S van Steenkiste, J Schmidhuber
ICLR 2021, 2021
312021
Optic disc segmentation using circular Hough transform and curve fitting
A Gopalakrishnan, A Almazroa, K Raahemifar, V Lakshminarayanan
IEM OPTRONIX 2015, 2015
262015
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
72023
Exploring the Promise and Limits of Real-Time Recurrent Learning
K Irie, A Gopalakrishnan, J Schmidhuber
ICLR 2024, 2024
62024
Unsupervised Musical Object Discovery from Audio
J Gha, V Herrmann, B Grewe, J Schmidhuber, A Gopalakrishnan
Machine Learning for Audio workshop, NeurIPS 2023, 2023
12023
Feature selection and model optimization for semi-supervised speaker spotting
SR Chetupalli, A Gopalakrishnan, TV Sreenivas
EUSIPCO 2016, 2016
12016
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
系统目前无法执行此操作,请稍后再试。
文章 1–11