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2020 – today
- 2024
[c33]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. CVPR 2024: 23115-23127- [i41]Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski:
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models. CoRR abs/2402.03877 (2024) - 2023
- [j2]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) - [c32]Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski:
A Simple, Yet Effective Approach to Finding Biases in Code Generation. ACL (Findings) 2023: 11299-11329 - [c31]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 - [i40]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:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i39]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 abs/2311.17901 (2023) - 2022
- [c30]Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski:
Compressed Vision for Efficient Video Understanding. ACCV (7) 2022: 679-695 - [c29]Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando:
CLIP-CLOP: CLIP-Guided Collage and Photomontage. ICCC 2022: 190-194 - [c28]Tim Franzmeyer, Mateusz Malinowski, João F. Henriques:
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. ICLR 2022 - [c27]Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski:
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models. ICLR 2022 - [c26]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: 8535-8558 - [c25]Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman:
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. NeurIPS 2022 - [i38]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. CoRR abs/2202.07765 (2022) - [i37]Spyridon Mouselinos, Henryk Michalewski, Mateusz Malinowski:
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models. CoRR abs/2202.12162 (2022) - [i36]Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia:
Transframer: Arbitrary Frame Prediction with Generative Models. CoRR abs/2203.09494 (2022) - [i35]Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando:
CLIP-CLOP: CLIP-Guided Collage and Photomontage. CoRR abs/2205.03146 (2022) - [i34]Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman:
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. CoRR abs/2208.08798 (2022) - [i33]Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski:
Compressed Vision for Efficient Video Understanding. CoRR abs/2210.02995 (2022) - [i32]Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski:
A Simple, Yet Effective Approach to Finding Biases in Code Generation. CoRR abs/2211.00609 (2022) - 2021
- [c24]Piotr Piekos, Mateusz Malinowski, Henryk Michalewski:
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning. ACL/IJCNLP (2) 2021: 383-394 - [c23]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR 2021: 9249-9259 - [c22]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. ICCV 2021: 1235-1245 - [c21]Hossein Hajipour
, Mateusz Malinowski, Mario Fritz:
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. PKDD/ECML Workshops (2) 2021: 143-157 - [i31]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 abs/2103.16559 (2021) - [i30]Piotr Piekos, Henryk Michalewski, Mateusz Malinowski:
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning. CoRR abs/2106.03921 (2021) - [i29]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR abs/2106.08318 (2021) - [i28]Tim Franzmeyer, Mateusz Malinowski, João F. Henriques:
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. CoRR abs/2107.09598 (2021) - 2020
- [c20]Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell:
Learning to Follow Directions in Street View. AAAI 2020: 11773-11781 - [c19]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: 10847-10856 - [c18]Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CVPR 2020: 11831-11840 - [i27]Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CoRR abs/2001.06232 (2020) - [i26]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 abs/2003.05078 (2020) - [i25]Hossein Hajipour, Mateusz Malinowski, Mario Fritz:
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis. CoRR abs/2006.10720 (2020)
2010 – 2019
- 2019
- [c17]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 - [c16]Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi:
Learning dynamic polynomial proofs. NeurIPS 2019: 4181-4190 - [i24]Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell:
Learning To Follow Directions in Street View. CoRR abs/1903.00401 (2019) - [i23]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 abs/1903.01292 (2019) - [i22]Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi:
Learning dynamic polynomial proofs. CoRR abs/1906.01681 (2019) - 2018
- [c15]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Prediction. AAAI 2018: 2720-2729 - [c14]Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia:
Learning Visual Question Answering by Bootstrapping Hard Attention. ECCV (6) 2018: 3-20 - [c13]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: 521-537 - [c12]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: 2424-2435 - [i21]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 abs/1804.00168 (2018) - [i20]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 abs/1805.09786 (2018) - [i19]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:
Relational inductive biases, deep learning, and graph networks. CoRR abs/1806.01261 (2018) - [i18]Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia:
Learning Visual Question Answering by Bootstrapping Hard Attention. CoRR abs/1808.00300 (2018) - [i17]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 abs/1809.03707 (2018) - [i16]Mateusz Malinowski, Carl Doersch:
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR. CoRR abs/1809.04482 (2018) - [i15]Julien Pérolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin:
Playing the Game of Universal Adversarial Perturbations. CoRR abs/1809.07802 (2018) - [i14]Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni:
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR abs/1812.00898 (2018) - 2017
- [b1]Mateusz Malinowski:
Towards holistic machines: From visual recognition to question answering about real-world images. Saarland University, Saarbrücken, Germany, 2017 - [j1]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. Int. J. Comput. Vis. 125(1-3): 110-135 (2017) - [c11]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: 4967-4976 - [i13]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 abs/1706.01427 (2017) - 2016
- [c10]Mateusz Malinowski, Ashkan Mokarian, Mario Fritz:
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. BMVC 2016 - [c9]Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele:
Multi-cue Zero-Shot Learning with Strong Supervision. CVPR 2016: 59-68 - [c8]Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz:
Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries. ICMR 2016: 243-247 - [i12]Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz:
Contextual Media Retrieval Using Natural Language Queries. CoRR abs/1602.04983 (2016) - [i11]Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele:
Multi-Cue Zero-Shot Learning with Strong Supervision. CoRR abs/1603.08754 (2016) - [i10]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. CoRR abs/1605.02697 (2016) - [i9]Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz:
Spatio-Temporal Image Boundary Extrapolation. CoRR abs/1605.07363 (2016) - [i8]Ashkan Mokarian, Mateusz Malinowski, Mario Fritz:
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. CoRR abs/1608.02717 (2016) - [i7]Mateusz Malinowski, Mario Fritz:
Tutorial on Answering Questions about Images with Deep Learning. CoRR abs/1610.01076 (2016) - [i6]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Extrapolation. CoRR abs/1611.08841 (2016) - 2015
- [c7]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. ICCV 2015: 1-9 - [i5]Mateusz Malinowski, Mario Fritz:
Hard to Cheat: A Turing Test based on Answering Questions about Images. CoRR abs/1501.03302 (2015) - [i4]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images. CoRR abs/1505.01121 (2015) - 2014
- [c6]Mateusz Malinowski, Mario Fritz:
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. NIPS 2014: 1682-1690 - [i3]Mateusz Malinowski, Mario Fritz:
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. CoRR abs/1410.0210 (2014) - [i2]Mateusz Malinowski, Mario Fritz:
Towards a Visual Turing Challenge. CoRR abs/1410.8027 (2014) - [i1]Mateusz Malinowski, Mario Fritz:
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation. CoRR abs/1411.5190 (2014) - 2013
- [c5]Mateusz Malinowski, Mario Fritz:
Learning Smooth Pooling Regions for Visual Recognition. BMVC 2013 - [c4]Mateusz Malinowski, Mario Fritz:
Learnable Pooling Regions for Image Classification. ICLR (Workshop Poster) 2013 - [p1]Damian Bereska, Krzysztof Daniec, Slawomir Fras, Karol Jedrasiak, Mateusz Malinowski, Aleksander Nawrat:
System for Multi-axial Mechanical Stabilization of Digital Camera. Vision Based Systemsfor UAV Applications 2013: 177-189
2000 – 2009
- 2007
- [c3]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: 145-159 - 2005
- [c2]Gerardo Barroeta Perez, Mateusz Malinowski, Joseph A. Paradiso:
An Ultra-Low Power, Optically-Interrogated Smart Tagging and Identification System. AutoID 2005: 187-192 - 2002
- [c1]Mark Feldmeier, Joseph A. Paradiso, Mateusz Malinowski:
Large Group Musical Interaction using Disposable Wireless Motion Sensors. ICMC 2002
Coauthor Index
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