Mateusz Malinowski

78 papers A* 16A 2B 1C 1Misc 1Journal 43Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models. CoRR Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski
2024	A*	`conf`	SODA: Bottleneck Diffusion Models for Representation Learning. CVPR Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2023	—	`conf`	A Simple, Yet Effective Approach to Finding Biases in Code Generation. ACL (Findings) Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski
2023	A*	`conf`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 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
2023	J	`jnl`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR 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, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
2023	J	`jnl`	SODA: Bottleneck Diffusion Models for Representation Learning. CoRR Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2023	J	`jnl`	Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
2022	J	`jnl`	A Simple, Yet Effective Approach to Finding Biases in Code Generation. CoRR Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski
2022	C	`conf`	CLIP-CLOP: CLIP-Guided Collage and Photomontage. ICCC Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando
2022	J	`jnl`	CLIP-CLOP: CLIP-Guided Collage and Photomontage. CoRR Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando
2022	—	`conf`	Compressed Vision for Efficient Video Understanding. ACCV (7) Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
2022	J	`jnl`	Compressed Vision for Efficient Video Understanding. CoRR Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
2022	A*	`conf`	General-purpose, long-context autoregressive modeling with Perceiver AR. ICML 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
2022	J	`jnl`	General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR 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
2022	A*	`conf`	Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
2022	A*	`conf`	Measuring CLEVRness: Black-box Testing of Visual Reasoning Models. ICLR Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski
2022	J	`jnl`	Measuring CLEVRness: Blackbox testing of Visual Reasoning Models. CoRR Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski
2022	A*	`conf`	Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. NeurIPS Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman
2022	J	`jnl`	Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. CoRR Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman
2022	J	`jnl`	Transframer: Arbitrary Frame Prediction with Generative Models. CoRR Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
2021	A*	`conf`	Broaden Your Views for Self-Supervised Video Learning. ICCV 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
2021	J	`jnl`	Broaden Your Views for Self-Supervised Video Learning. CoRR 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
2021	A*	`conf`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	J	`jnl`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	—	`conf`	IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. PKDD/ECML Workshops (2) Hossein Hajipour, Mateusz Malinowski, Mario Fritz
2021	J	`jnl`	Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
2021	—	`conf`	Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning. ACL/IJCNLP (2) Piotr Piekos, Mateusz Malinowski, Henryk Michalewski
2021	J	`jnl`	Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning. CoRR Piotr Piekos, Henryk Michalewski, Mateusz Malinowski
2020	J	`jnl`	IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis. CoRR Hossein Hajipour, Mateusz Malinowski, Mario Fritz
2020	A*	`conf`	Learning to Follow Directions in Street View. AAAI Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell
2020	A*	`conf`	Sideways: Depth-Parallel Training of Video Models. CVPR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2020	J	`jnl`	Sideways: Depth-Parallel Training of Video Models. CoRR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2020	A*	`conf`	Visual Grounding in Video for Unsupervised Word Translation. CVPR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2020	J	`jnl`	Visual Grounding in Video for Unsupervised Word Translation. CoRR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2019	—	`conf`	Hyperbolic Attention Networks. ICLR (Poster) 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
2019	J	`jnl`	Learning To Follow Directions in Street View. CoRR Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell
2019	A*	`conf`	Learning dynamic polynomial proofs. NeurIPS Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi
2019	J	`jnl`	Learning dynamic polynomial proofs. CoRR Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi
2019	J	`jnl`	The StreetLearn Environment and Dataset. CoRR 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
2018	—	`conf`	Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. ECCV Workshops (1) Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
2018	J	`jnl`	Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. CoRR Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis
2018	J	`jnl`	Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
2018	J	`jnl`	Hyperbolic Attention Networks. CoRR 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
2018	—	`conf`	Learning Visual Question Answering by Bootstrapping Hard Attention. ECCV (6) Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
2018	J	`jnl`	Learning Visual Question Answering by Bootstrapping Hard Attention. CoRR Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
2018	A*	`conf`	Learning to Navigate in Cities Without a Map. NeurIPS Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
2018	J	`jnl`	Learning to Navigate in Cities Without a Map. CoRR Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
2018	A*	`conf`	Long-Term Image Boundary Prediction. AAAI Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Playing the Game of Universal Adversarial Perturbations. CoRR Julien Pérolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin
2018	J	`jnl`	Relational inductive biases, deep learning, and graph networks. CoRR 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
2018	J	`jnl`	The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR. CoRR Mateusz Malinowski, Carl Doersch
2017	—	`conf`	A simple neural network module for relational reasoning. NIPS Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Tim Lillicrap
2017	J	`jnl`	A simple neural network module for relational reasoning. CoRR Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter W. Battaglia, Timothy P. Lillicrap
2017	J	`jnl`	Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. Int. J. Comput. Vis. Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2017	—	`—`	Towards holistic machines: From visual recognition to question answering about real-world images. Mateusz Malinowski
2016	J	`jnl`	Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. CoRR Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2016	J	`jnl`	Contextual Media Retrieval Using Natural Language Queries. CoRR Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz
2016	J	`jnl`	Long-Term Image Boundary Extrapolation. CoRR Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz
2016	A	`conf`	Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. BMVC Mateusz Malinowski, Ashkan Mokarian, Mario Fritz
2016	J	`jnl`	Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. CoRR Ashkan Mokarian, Mateusz Malinowski, Mario Fritz
2016	J	`jnl`	Multi-Cue Zero-Shot Learning with Strong Supervision. CoRR Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
2016	A*	`conf`	Multi-cue Zero-Shot Learning with Strong Supervision. CVPR Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
2016	J	`jnl`	Spatio-Temporal Image Boundary Extrapolation. CoRR Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz
2016	J	`jnl`	Tutorial on Answering Questions about Images with Deep Learning. CoRR Mateusz Malinowski, Mario Fritz
2016	B	`conf`	Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries. ICMR Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz
2015	A*	`conf`	Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. ICCV Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2015	J	`jnl`	Ask Your Neurons: A Neural-based Approach to Answering Questions about Images. CoRR Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
2015	J	`jnl`	Hard to Cheat: A Turing Test based on Answering Questions about Images. CoRR Mateusz Malinowski, Mario Fritz
2014	—	`conf`	A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. NIPS Mateusz Malinowski, Mario Fritz
2014	J	`jnl`	A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. CoRR Mateusz Malinowski, Mario Fritz
2014	J	`jnl`	A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation. CoRR Mateusz Malinowski, Mario Fritz
2014	J	`jnl`	Towards a Visual Turing Challenge. CoRR Mateusz Malinowski, Mario Fritz
2013	—	`conf`	Learnable Pooling Regions for Image Classification ICLR (Workshop Poster) Mateusz Malinowski, Mario Fritz
2013	A	`conf`	Learning Smooth Pooling Regions for Visual Recognition. BMVC Mateusz Malinowski, Mario Fritz
2013	—	`ch.`	System for Multi-axial Mechanical Stabilization of Digital Camera. Vision Based Systemsfor UAV Applications Damian Bereska, Krzysztof Daniec, Slawomir Fras, Karol Jedrasiak, Mateusz Malinowski, Aleksander Nawrat
2007	Misc	`conf`	CargoNet: a low-cost micropower sensor node exploiting quasi-passive wakeup for adaptive asychronous monitoring of exceptional events. SenSys Mateusz Malinowski, Matthew Moskwa, Mark Feldmeier, Mathew Laibowitz, Joseph A. Paradiso
2005	—	`conf`	An Ultra-Low Power, Optically-Interrogated Smart Tagging and Identification System. AutoID Gerardo Barroeta Perez, Mateusz Malinowski, Joseph A. Paradiso
2002	—	`conf`	Large Group Musical Interaction using Disposable Wireless Motion Sensors. ICMC Mark Feldmeier, Joseph A. Paradiso, Mateusz Malinowski