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2020 – today
- 2024
[c6]Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber:
Exploring the Promise and Limits of Real-Time Recurrent Learning. ICLR 2024- [i8]Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael Curtis Mozer:
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. CoRR abs/2405.17283 (2024) - 2023
- [j1]Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste:
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Comput. 35(4): 593-626 (2023) - [c5]Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber:
Contrastive Training of Complex-Valued Autoencoders for Object Discovery. NeurIPS 2023 - [i7]Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber:
Contrastive Training of Complex-Valued Autoencoders for Object Discovery. CoRR abs/2305.15001 (2023) - [i6]Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber:
Mindstorms in Natural Language-Based Societies of Mind. CoRR abs/2305.17066 (2023) - [i5]Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber:
Exploring the Promise and Limits of Real-Time Recurrent Learning. CoRR abs/2305.19044 (2023) - [i4]Joonsu Gha, Vincent Herrmann, Benjamin Grewe, Jürgen Schmidhuber, Anand Gopalakrishnan:
Unsupervised Musical Object Discovery from Audio. CoRR abs/2311.07534 (2023) - 2022
- [i3]Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste:
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers. CoRR abs/2203.13573 (2022) - 2021
- [c4]Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber:
Unsupervised Object Keypoint Learning using Local Spatial Predictability. ICLR 2021 - 2020
- [i2]Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber:
Unsupervised Object Keypoint Learning using Local Spatial Predictability. CoRR abs/2011.12930 (2020)
2010 – 2019
- 2019
- [c3]Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer
, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. CVPR 2019: 12116-12125 - [c2]Srikanth Raj Chetupalli, Thippur V. Sreenivas, Anand Gopalakrishnan:
Comparison of low-dimension speech segment embeddings: Application to speaker diarization. NCC 2019: 1-5 - 2018
- [i1]Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. CoRR abs/1809.03036 (2018) - 2016
- [c1]Srikanth Raj Chetupally, Anand Gopalakrishnan, Thippur V. Sreenivas:
Feature selection and model optimization for semi-supervised speaker spotting. EUSIPCO 2016: 135-139
Coauthor Index
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