1. Learning Dynamic Polynomial Proofs
    Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi.
    In: Technical Report.

  2. The StreetLearn Environment and Dataset
    Piotr Mirowski et al..
    In: Technical Report.

  3. Learning to Follow Directions in StreetView
    Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell.
    In: Technical Report.

  4. Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning
    Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, Ali Eslami, Oriol Vinyals, Tejas Kulkarni.
    In: ECCV Workshop 2018.

  5. Playing the game of universal adversarial perturbations
    Julien Perolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin.
    In: Technical Report.

  6. The visual QA devil in the details: The impact of early fusion and batch norm on clevr
    Mateusz Malinowski, Carl Doersch.
    In: ECCV Workshop 2018.

  7. Learning Visual Question Answering by Bootstrapping Hard Attention
    Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter Battaglia.
    In: ECCV 2018.

  8. Relational inductive biases, deep learning, and graph networks
    Peter Battaglia et al..
    In: Technical Report.

  9. Hyperbolic attention networks
    Caglar Gulcehre et al..
    In: ICLR 2018.

  10. Answering visual what-if questions: From actions to predicted scene descriptions
    Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis.
    In: ECCV Workshop 2018.

  11. Learning to navigate in cities without a map
    Piotr Mirowski, Matt Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Andrew Zisserman, Raia Hadsell.
    In: NeurIPS 2018.

  12. Long-Term Image Boundary Prediction
    Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, and Mario Fritz.
    In: AAAI 2018.

  13. Towards Holistic Machines: From Visual Recognition To Question Answering About Real-world Image
    Mateusz Malinowski.
    In: PhD Thesis. Saarland University 2017.

  14. Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
    Mateusz Malinowski, Marcus Rohrbach, and Mario Fritz.
    In: IJCV 2017.

  15. A simple neural network module for relational reasoning
    Adam Santoro, David Raposo, David Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap.
    In: NIPS 2017 (Spotlight).

  16. Tutorial on Answering Questions about Images with Deep Learning
    Mateusz Malinowski and Mario Fritz.
    In: IV&LSS 2016.

  17. Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries
    Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, and Mario Fritz.
    In: ICMR 2016.

  18. Multi-Cue Zero-Shot Learning with Strong Supervision
    Zeynep Akata, Mateusz Malinowski, Mario Fritz, and Bernt Schiele.
    In: CVPR 2016.

  19. Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation
    Mateusz Malinowski, Marcus Rohrbach, and Mario Fritz.
    In: CVPR Workshop on VQA 2016.

  20. Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task
    Ashkan Mokarian, Mateusz Malinowski, and Mario Fritz.
    In: BMVC 2016.

  21. Long Term Boundary Extrapolation for Deterministic Motion
    Apratim Bhattacharyya, Mateusz Malinowski, and Mario Fritz.
    In: NIPS Workshop on Intuitive Physics 2016.

  22. Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
    Mateusz Malinowski, Marcus Rohrbach, and Mario Fritz.
    In: ICCV 2015 (Oral).

  23. Hard to Cheat: A Turing Test based on Answering Questions about Images
    Mateusz Malinowski and Mario Fritz.
    In: AAAI: Beyond the Turing Test 2015.


  24. Towards a Visual Turing Challenge
    Mateusz Malinowski and Mario Fritz.
    In: NIPS Workshop on Learning Semantics 2014.

  25. A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation
    Mateusz Malinowski and Mario Fritz.
    In: Technical Report 2014.

  26. Learning Smooth Pooling Regions for Visual Recognition
    Mateusz Malinowski and Mario Fritz.
    In: BMVC 2013.

  27. Learnable Pooling Regions for Image Classification
    Mateusz Malinowski and Mario Fritz.
    In: ICLR Workshop 2013.

  28. Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study
    Mateusz Malinowski.
    In: Masters Thesis. Saarland University 2011.