Discrete Deep Feature Extraction: A Theory and New Architectures. - Thomas Wiatowski; Michael Tschannen; Aleksandar Stanic; Philipp Grohs; Helmut Bölcskei (ICML, 2016)

R-SQAIR: Relational Sequential Attend, Infer, Repeat. - Aleksandar Stanic; Jürgen Schmidhuber (CoRR, 2019)

Hierarchical Relational Inference. - Aleksandar Stanic; Sjoerd van Steenkiste; Jürgen Schmidhuber (AAAI, 2021)

Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. - Ðorðe Miladinovic; Aleksandar Stanic; Stefan Bauer; Jürgen Schmidhuber; Joachim M. Buhmann (ICLR, 2021)

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

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

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers. - Aleksandar Stanic; Sergi Caelles; Michael Tschannen (Trans. Mach. Learn. Res., 2024)

Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter. - Aleksandar Stanic; Yujin Tang; David Ha; Jürgen Schmidhuber (IEEE Trans. Games, 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)