Aleksandar Stanic

19 papers A* 5Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
CLINB: A Climate Intelligence Benchmark for Foundational Models.
CoRR
Michelle Chen Huebscher, Katharine Mach, Aleksandar Stanic, Markus Leippold, Ben Gaiarin, Zeke Hausfather, Elisa Rawat, Erich Fischer, Massimiliano Ciaramita, Joeri Rogelj, Christian Buck, Lierni Sestorain Saralegu, Reto Knutti
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
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter.
IEEE Trans. Games
Aleksandar Stanic, Yujin Tang, David Ha, 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
2024 J jnl
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers.
CoRR
Aleksandar Stanic, Sergi Caelles, Michael Tschannen
2024 J jnl
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers.
Trans. Mach. Learn. Res.
Aleksandar Stanic, Sergi Caelles, Michael Tschannen
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
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
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute.
CoRR
Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag
2022 J jnl
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter.
CoRR
Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
2021 A* conf
Hierarchical Relational Inference.
AAAI
Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
2021 A* conf
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling.
ICLR
Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2021 J jnl
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling.
CoRR
Djordje Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2020 J jnl
Hierarchical Relational Inference.
CoRR
Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
2019 J jnl
R-SQAIR: Relational Sequential Attend, Infer, Repeat.
CoRR
Aleksandar Stanic, Jürgen Schmidhuber
2016 A* conf
Discrete Deep Feature Extraction: A Theory and New Architectures.
ICML
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei
2016 J jnl
Discrete Deep Feature Extraction: A Theory and New Architectures.
CoRR
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei