Anand Gopalakrishnan

19 papers A* 5Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings. CoRR Anand Gopalakrishnan, Róbert Csordás, Jürgen Schmidhuber, Michael C. Mozer
2025	J	`jnl`	Mindstorms in Natural Language-Based Societies of Mind. Comput. Vis. Media 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
2024	J	`jnl`	Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning. CoRR Etai Littwin, Vimal Thilak, Anand Gopalakrishnan
2024	A*	`conf`	Exploring the Promise and Limits of Real-Time Recurrent Learning. ICLR Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
2024	A*	`conf`	Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. NeurIPS Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael C. Mozer
2024	J	`jnl`	Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. CoRR Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael Curtis Mozer
2023	A*	`conf`	Contrastive Training of Complex-Valued Autoencoders for Object Discovery. NeurIPS Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
2023	J	`jnl`	Contrastive Training of Complex-Valued Autoencoders for Object Discovery. CoRR Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
2023	J	`jnl`	Exploring the Promise and Limits of Real-Time Recurrent Learning. CoRR Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
2023	J	`jnl`	Mindstorms in Natural Language-Based Societies of Mind. CoRR 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
2023	J	`jnl`	Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Comput. Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
2023	J	`jnl`	Unsupervised Musical Object Discovery from Audio. CoRR Joonsu Gha, Vincent Herrmann, Benjamin F. Grewe, Jürgen Schmidhuber, Anand Gopalakrishnan
2022	J	`jnl`	Unsupervised Learning of Temporal Abstractions with Slot-based Transformers. CoRR Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
2021	A*	`conf`	Unsupervised Object Keypoint Learning using Local Spatial Predictability. ICLR Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Unsupervised Object Keypoint Learning using Local Spatial Predictability. CoRR Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
2019	A*	`conf`	A Neural Temporal Model for Human Motion Prediction. CVPR Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
2019	—	`conf`	Comparison of low-dimension speech segment embeddings: Application to speaker diarization. NCC Srikanth Raj Chetupalli, Thippur V. Sreenivas, Anand Gopalakrishnan
2018	J	`jnl`	A Neural Temporal Model for Human Motion Prediction. CoRR Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
2016	—	`conf`	Feature selection and model optimization for semi-supervised speaker spotting. EUSIPCO Srikanth Raj Chetupally, Anand Gopalakrishnan, Thippur V. Sreenivas