Feature selection and model optimization for semi-supervised speaker spotting. - Srikanth Raj Chetupally; Anand Gopalakrishnan; Thippur V. Sreenivas (EUSIPCO, 2016)

A Neural Temporal Model for Human Motion Prediction. - Anand Gopalakrishnan; Ankur Arjun Mali; Dan Kifer; C. Lee Giles; Alexander G. Ororbia II (CVPR, 2019)

Comparison of low-dimension speech segment embeddings: Application to speaker diarization. - Srikanth Raj Chetupalli; Thippur V. Sreenivas; Anand Gopalakrishnan (NCC, 2019)

Unsupervised Object Keypoint Learning using Local Spatial Predictability. - Anand Gopalakrishnan; Sjoerd van Steenkiste; Jürgen Schmidhuber (ICLR, 2021)

Contrastive Training of Complex-Valued Autoencoders for Object Discovery. - Aleksandar Stanic; Anand Gopalakrishnan; Kazuki Irie; Jürgen Schmidhuber (NeurIPS, 2023)

Unsupervised Musical Object Discovery from Audio. - Joonsu Gha; Vincent Herrmann; Benjamin F. Grewe; Jürgen Schmidhuber; Anand Gopalakrishnan (CoRR, 2023)

Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. - Anand Gopalakrishnan; Kazuki Irie; Jürgen Schmidhuber; Sjoerd van Steenkiste (Neural Comput., 2023)

Exploring the Promise and Limits of Real-Time Recurrent Learning. - Kazuki Irie; Anand Gopalakrishnan; Jürgen Schmidhuber (ICLR, 2024)

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. - Anand Gopalakrishnan; Aleksandar Stanic; Jürgen Schmidhuber; Michael C. Mozer (NeurIPS, 2024)

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning. - Etai Littwin; Vimal Thilak; Anand Gopalakrishnan (CoRR, 2024)

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 024; et al. (Comput. Vis. Media, 2025)