Anand Gopalakrishnan

According to our database, Anand Gopalakrishnan authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning.

Etai Littwin, Vimal Thilak, Anand Gopalakrishnan

CoRR, 2024

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery.

Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael Curtis Mozer

CoRR, 2024

Exploring the Promise and Limits of Real-Time Recurrent Learning.

Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers.

Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste

Neural Comput., 2023

Unsupervised Musical Object Discovery from Audio.

Joonsu Gha, Vincent Herrmann, Benjamin Grewe, Jürgen Schmidhuber, Anand Gopalakrishnan

CoRR, 2023

Mindstorms in Natural Language-Based Societies of Mind.

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

CoRR, 2023

Contrastive Training of Complex-Valued Autoencoders for Object Discovery.

Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Unsupervised Object Keypoint Learning using Local Spatial Predictability.

Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Comparison of low-dimension speech segment embeddings: Application to speaker diarization.

Srikanth Raj Chetupalli, Thippur V. Sreenivas, Anand Gopalakrishnan

Proceedings of the National Conference on Communications, 2019

A Neural Temporal Model for Human Motion Prediction.

Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016

Feature selection and model optimization for semi-supervised speaker spotting.

Srikanth Raj Chetupally, Anand Gopalakrishnan, Thippur V. Sreenivas

Proceedings of the 24th European Signal Processing Conference, 2016