Aleksandar Stanic

According to our database, Aleksandar Stanic authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers.

Aleksandar Stanic, Sergi Caelles, Michael Tschannen

CoRR, 2024

2023

The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute.

Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag

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 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

2022

Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter.

Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber

CoRR, 2022

2021

Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling.

Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann

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

Hierarchical Relational Inference.

Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

R-SQAIR: Relational Sequential Attend, Infer, Repeat.

Aleksandar Stanic, Jürgen Schmidhuber

CoRR, 2019

2016

Discrete Deep Feature Extraction: A Theory and New Architectures.

Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei

Proceedings of the 33nd International Conference on Machine Learning, 2016