Mateusz Malinowski

According to our database, Mateusz Malinowski authored at least 52 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models.

Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski

CoRR, 2024

SODA: Bottleneck Diffusion Models for Representation Learning.

Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Transframer: Arbitrary Frame Prediction with Generative Models.

Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia

Trans. Mach. Learn. Res., 2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Simple, Yet Effective Approach to Finding Biases in Code Generation.

Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models.

Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski

CoRR, 2022

Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members.

Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

General-purpose, long-context autoregressive modeling with Perceiver AR.

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

Proceedings of the International Conference on Machine Learning, 2022

Measuring CLEVRness: Black-box Testing of Visual Reasoning Models.

Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Altruistic Behaviours in Reinforcement Learning without External Rewards.

Tim Franzmeyer, Mateusz Malinowski, João F. Henriques

Proceedings of the Tenth International Conference on Learning Representations, 2022

CLIP-CLOP: CLIP-Guided Collage and Photomontage.

Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

Compressed Vision for Efficient Video Understanding.

Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis.

Hossein Hajipour, Mateusz Malinowski, Mario Fritz

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Broaden Your Views for Self-Supervised Video Learning.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Gradient Forward-Propagation for Large-Scale Temporal Video Modelling.

Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning.

Piotr Piekos, Mateusz Malinowski, Henryk Michalewski

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis.

Hossein Hajipour, Mateusz Malinowski, Mario Fritz

CoRR, 2020

Visual Grounding in Video for Unsupervised Word Translation.

Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sideways: Depth-Parallel Training of Video Models.

Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Follow Directions in Street View.

Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The StreetLearn Environment and Dataset.

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

CoRR, 2019

Learning dynamic polynomial proofs.

Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hyperbolic Attention Networks.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning.

Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni

CoRR, 2018

Playing the Game of Universal Adversarial Perturbations.

Julien Pérolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin

CoRR, 2018

The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR.

Mateusz Malinowski, Carl Doersch

CoRR, 2018

Relational inductive biases, deep learning, and graph networks.

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 M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu

CoRR, 2018

Learning to Navigate in Cities Without a Map.

Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning Visual Question Answering by Bootstrapping Hard Attention.

Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia

Proceedings of the Computer Vision - ECCV 2018, 2018

Long-Term Image Boundary Prediction.

Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Towards holistic machines: From visual recognition to question answering about real-world images.

Mateusz Malinowski

PhD thesis, 2017

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering.

Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

Int. J. Comput. Vis., 2017

A simple neural network module for relational reasoning.

Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Tim Lillicrap

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Tutorial on Answering Questions about Images with Deep Learning.

Mateusz Malinowski, Mario Fritz

CoRR, 2016

Contextual Media Retrieval Using Natural Language Queries.

Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz

CoRR, 2016

Long-Term Image Boundary Extrapolation.

Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz

CoRR, 2016

Spatio-Temporal Image Boundary Extrapolation.

Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz

CoRR, 2016

Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries.

Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Multi-cue Zero-Shot Learning with Strong Supervision.

Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task.

Mateusz Malinowski, Ashkan Mokarian, Mario Fritz

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Hard to Cheat: A Turing Test based on Answering Questions about Images.

Mateusz Malinowski, Mario Fritz

CoRR, 2015

Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images.

Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation.

Mateusz Malinowski, Mario Fritz

CoRR, 2014

Towards a Visual Turing Challenge.

Mateusz Malinowski, Mario Fritz

CoRR, 2014

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input.

Mateusz Malinowski, Mario Fritz

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

System for Multi-axial Mechanical Stabilization of Digital Camera.

Damian Bereska, Krzysztof Daniec, Slawomir Fras, Karol Jedrasiak, Mateusz Malinowski, Aleksander Nawrat

Proceedings of the Vision Based Systemsfor UAV Applications, 2013

Learnable Pooling Regions for Image Classification

Mateusz Malinowski, Mario Fritz

Proceedings of the 1st International Conference on Learning Representations, 2013

Learning Smooth Pooling Regions for Visual Recognition.

Mateusz Malinowski, Mario Fritz

Proceedings of the British Machine Vision Conference, 2013

2007

CargoNet: a low-cost micropower sensor node exploiting quasi-passive wakeup for adaptive asychronous monitoring of exceptional events.

Mateusz Malinowski, Matthew Moskwa, Mark Feldmeier, Mathew Laibowitz, Joseph A. Paradiso

Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, 2007

2005

An Ultra-Low Power, Optically-Interrogated Smart Tagging and Identification System.

Gerardo Barroeta Perez, Mateusz Malinowski, Joseph A. Paradiso

Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID 2005), 2005

2002

Large Group Musical Interaction using Disposable Wireless Motion Sensors.

Mark Feldmeier, Joseph A. Paradiso, Mateusz Malinowski

Proceedings of the 2002 International Computer Music Conference, 2002