publications

2024

1. 

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

   Aleksandar Stanić, Sergi Caelles, and Michael Tschannen

   arXiv preprint arXiv:2401.01974, 2024

   arXiv Bib

   @article{stanic2024towards,
     title = {Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers},
     author = {Stani{\'c}, Aleksandar and Caelles, Sergi and Tschannen, Michael},
     journal = {arXiv preprint arXiv:2401.01974},
     year = {2024},
   }

2023

1. 

   Contrastive Training of Complex-Valued Autoencoders for Object Discovery

   Aleksandar Stanić^*, Anand Gopalakrishnan^*, Kazuki Irie, and 1 more author

   In Neural Information Processing Systems (NeurIPS), 2023

   arXiv Bib Code

   @inproceedings{stanic2023contrastive,
     title = {Contrastive Training of Complex-Valued Autoencoders for Object Discovery},
     author = {Stani{\'c}, Aleksandar and Gopalakrishnan, Anand and Irie, Kazuki and Schmidhuber, J{\"u}rgen},
     booktitle = {Neural Information Processing Systems (NeurIPS)},
     year = {2023},
   }

2. 

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

   Aleksandar Stanić^*, Dylan Ashley, Oleg Serikov, and 5 more authors

   arXiv preprint arXiv:2309.11197, 2023

   arXiv Bib

   @article{stanic2023languini,
     title = {The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute},
     author = {Stani{\'c}, Aleksandar and Ashley, Dylan and Serikov, Oleg and Kirsch, Louis and Faccio, Francesco and Schmidhuber, J{\"u}rgen and Hofmann, Thomas and Schlag, Imanol},
     journal = {arXiv preprint arXiv:2309.11197},
     year = {2023},
   }

3. 

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

   Aleksandar Stanić, Yujin Tang, David Ha, and 1 more author

   IEEE Transactions on Games, 2023

   arXiv Bib Code

   @article{stanic2023learning,
     title = {Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter},
     author = {Stani{\'c}, Aleksandar and Tang, Yujin and Ha, David and Schmidhuber, J{\"u}rgen},
     journal = {IEEE Transactions on Games},
     year = {2023},
   }

2021

1. 

   Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling

   Djordje Miladinović, Aleksandar Stanić, Stefan Bauer, and 2 more authors

   In International Conference on Learning Representations (ICLR), 2021

   arXiv Bib Code

   @inproceedings{miladinovic2021spatial,
     title = {Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling},
     author = {Miladinovi{\'c}, Djordje and Stani{\'c}, Aleksandar and Bauer, Stefan and Schmidhuber, J{\"u}rgen and Buhmann, Joachim},
     booktitle = {International Conference on Learning Representations (ICLR)},
     year = {2021},
   }

2. 

   Hierarchical Relational Inference

   Aleksandar Stanić, Sjoerd Steenkiste, and Jürgen Schmidhuber

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021

   arXiv Bib Code

   @inproceedings{stanic2021hierarchical,
     title = {Hierarchical Relational Inference},
     author = {Stani{\'c}, Aleksandar and van Steenkiste, Sjoerd and Schmidhuber, J{\"u}rgen},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2021},
   }

2019

1. 

   R-SQAIR: Relational Sequential Attend, Infer, Repeat

   Aleksandar Stanić and Jürgen Schmidhuber

   NeurIPS Workshop on Perception as Generative Reasoning / Graph Representation Learning, 2019

   arXiv Bib

   @article{stanic2019rsqair,
     title = {R-SQAIR: Relational Sequential Attend, Infer, Repeat},
     author = {Stani{\'c}, Aleksandar and Schmidhuber, J{\"u}rgen},
     journal = {NeurIPS Workshop on Perception as Generative Reasoning / Graph Representation Learning},
     year = {2019},
   }

2016

1. 

   Discrete Deep Feature Extraction: A Theory and New Architectures

   Thomas Wiatowski, Michael Tschannen, Aleksandar Stanić, and 2 more authors

   In International Conference on Machine Learning (ICML), 2016

   Bib PDF Code

   @inproceedings{wiatowski2016discrete,
     title = {Discrete Deep Feature Extraction: A Theory and New Architectures},
     author = {Wiatowski, Thomas and Tschannen, Michael and Stani{\'c}, Aleksandar and Grohs, Philipp and B{\"o}lcskei, Helmut},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2016},
   }