Mateusz Malinowski

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 63

Top Venues

Saarland University, Saarbrücken, Germany (PHD)

Education History

Saarland University, Saarbrücken, Germany

PHD

Publications

Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models. CoRR (2024)
Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alex Frechette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR (2023)
Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS (2023)
Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski
A Simple, Yet Effective Approach to Finding Biases in Code Generation. ACL (Findings) (2023)
Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. 2023 (2023)
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
SODA: Bottleneck Diffusion Models for Representation Learning. CoRR (2023)
Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models. ICLR (2022)
Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models. CoRR (2022)
Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
Compressed Vision for Efficient Video Understanding. CoRR (2022)
Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
Compressed Vision for Efficient Video Understanding. ACCV (7) (2022)
Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando
CLIP-CLOP: CLIP-Guided Collage and Photomontage. ICCC (2022)
Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR (2022)
Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski
A Simple, Yet Effective Approach to Finding Biases in Code Generation. CoRR (2022)
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR (2022)
Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. NeurIPS (2022)
Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando
CLIP-CLOP: CLIP-Guided Collage and Photomontage. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML (2022)
Charlie Nash, João Carreira, Jacob Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. CoRR (2022)
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR (2021)
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraaucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
Broaden Your Views for Self-Supervised Video Learning. ICCV (2021)
Piotr Piekos, Henryk Michalewski, Mateusz Malinowski
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning. CoRR (2021)
Piotr Piekos, Mateusz Malinowski, Henryk Michalewski
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning. ACL/IJCNLP (2) (2021)
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR (2021)
Hossein Hajipour, Mateusz Malinowski, Mario Fritz
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. PKDD/ECML Workshops (2) (2021)
Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR (2021)
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
Broaden Your Views for Self-Supervised Video Learning. CoRR (2021)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CoRR (2020)
Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
Sideways: Depth-Parallel Training of Video Models. CVPR (2020)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CVPR (2020)
Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
Sideways: Depth-Parallel Training of Video Models. CoRR (2020)
Hossein Hajipour, Mateusz Malinowski, Mario Fritz
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis. CoRR (2020)
Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell
Learning to Follow Directions in Street View. AAAI (2020)
Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
The StreetLearn Environment and Dataset. CoRR (2019)
Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi
Learning dynamic polynomial proofs. CoRR (2019)
Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell
Learning To Follow Directions in Street View. CoRR (2019)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. ICLR (Poster) (2019)
Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi
Learning dynamic polynomial proofs. NeurIPS (2019)
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
Learning Visual Question Answering by Bootstrapping Hard Attention. CoRR (2018)
Julien Pérolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin
Playing the Game of Universal Adversarial Perturbations. CoRR (2018)
Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR (2018)
Mateusz Malinowski, Carl Doersch
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR. CoRR (2018)
Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. CoRR (2018)
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
Relational inductive biases, deep learning, and graph networks. CoRR (2018)
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
Learning Visual Question Answering by Bootstrapping Hard Attention. ECCV (6) (2018)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. CoRR (2018)
Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
Learning to Navigate in Cities Without a Map. CoRR (2018)
Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
Learning to Navigate in Cities Without a Map. NeurIPS (2018)
Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz
Long-Term Image Boundary Prediction. AAAI (2018)
Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. ECCV Workshops (1) (2018)
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. Int. J. Comput. Vis. 125 (1-3) (2017)
Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Tim Lillicrap
A simple neural network module for relational reasoning. NIPS (2017)
Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Timothy P. Lillicrap
A simple neural network module for relational reasoning. CoRR (2017)
Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz
Contextual Media Retrieval Using Natural Language Queries. CoRR (2016)
Ashkan Mokarian, Mateusz Malinowski, Mario Fritz
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. CoRR (2016)
Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz
Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries. ICMR (2016)
Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz
Spatio-Temporal Image Boundary Extrapolation. CoRR (2016)
Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz
Long-Term Image Boundary Extrapolation. CoRR (2016)
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. CoRR (2016)
Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
Multi-Cue Zero-Shot Learning with Strong Supervision. CoRR (2016)
Mateusz Malinowski, Mario Fritz
Tutorial on Answering Questions about Images with Deep Learning. CoRR (2016)
Mateusz Malinowski, Ashkan Mokarian, Mario Fritz
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. BMVC (2016)
Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
Multi-cue Zero-Shot Learning with Strong Supervision. CVPR (2016)
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. ICCV (2015)
Mateusz Malinowski, Mario Fritz
Hard to Cheat: A Turing Test based on Answering Questions about Images. CoRR (2015)
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images. CoRR (2015)
Mateusz Malinowski, Mario Fritz
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. CoRR (2014)
Mateusz Malinowski, Mario Fritz
Towards a Visual Turing Challenge. CoRR (2014)
Mateusz Malinowski, Mario Fritz
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation. CoRR (2014)
Mateusz Malinowski, Mario Fritz
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. NIPS (2014)
Mateusz Malinowski, Mario Fritz
Learning Smooth Pooling Regions for Visual Recognition. BMVC (2013)
Mateusz Malinowski, Mario Fritz
Learnable Pooling Regions for Image Classification ICLR (Workshop Poster) (2013)
Mateusz Malinowski, Matthew Moskwa, Mark Feldmeier, Mathew Laibowitz, Joseph A. Paradiso
CargoNet: a low-cost micropower sensor node exploiting quasi-passive wakeup for adaptive asychronous monitoring of exceptional events. SenSys (2007)
Gerardo Barroeta Perez, Mateusz Malinowski, Joseph A. Paradiso
An Ultra-Low Power, Optically-Interrogated Smart Tagging and Identification System. AutoID (2005)
Mark Feldmeier, Joseph A. Paradiso, Mateusz Malinowski
Large Group Musical Interaction using Disposable Wireless Motion Sensors. ICMC (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mateusz Malinowski