Aleksandar Stanic

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Collective Inference

Max Margin Learning

Relational Learning

Language Modelling

Top Venues

Publications

Aleksandar Stanic, Sergi Caelles, Michael Tschannen
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers. CoRR (2024)
Aleksandar Stanic, Sergi Caelles, Michael Tschannen
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers. Trans. Mach. Learn. Res. 2024 (2024)
Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael Curtis Mozer
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. CoRR (2024)
Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter. IEEE Trans. Games 16 (2) (2024)
Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
Contrastive Training of Complex-Valued Autoencoders for Object Discovery. NeurIPS (2023)
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
Mindstorms in Natural Language-Based Societies of Mind. CoRR (2023)
Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute. CoRR (2023)
Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
Contrastive Training of Complex-Valued Autoencoders for Object Discovery. CoRR (2023)
Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter. CoRR (2022)
Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
Hierarchical Relational Inference. AAAI (2021)
Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. ICLR (2021)
Djordje Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. CoRR (2021)
Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
Hierarchical Relational Inference. CoRR (2020)
Aleksandar Stanic, Jürgen Schmidhuber
R-SQAIR: Relational Sequential Attend, Infer, Repeat. CoRR (2019)
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei
Discrete Deep Feature Extraction: A Theory and New Architectures. ICML (2016)
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei
Discrete Deep Feature Extraction: A Theory and New Architectures. CoRR (2016)