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Mateusz Malinowski

  1. Relational inductive biases, deep learning, and graph networks
    2018/06/04 by Peter W. Battaglia, Jessica B. Hamrick, Battaglia, Peter W. +51 · 2 voices · 126 citations
    #cs.LG #cs.AI #stat.ML
  2. A simple neural network module for relational reasoning
    2017/06/05 by Adam Santoro, Santoro, Adam, David Raposo +11 · 1 voice · 18 citations
    #cs.CL #cs.LG
  3. Ask Your Neurons: A Neural-based Approach to Answering Questions about\n Images
    2015/05/05 by Mateusz Malinowski, Marcus Rohrbach, Malinowski, Mateusz +3 · 37 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  4. Hyperbolic Attention Networks
    2018/05/24 by Çağlar Gülçehre, Gulcehre, Caglar, Misha Denil +19 · 19 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  5. SODA: Bottleneck Diffusion Models for Representation Learning
    2023/11/29 by Drew A. Hudson, Daniel Zoran, Hudson, Drew A. +15 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  6. General-purpose, long-context autoregressive modeling with Perceiver AR
    2022/02/15 by Curtis Hawthorne, Andrew Jaegle, Hawthorne, Curtis +27 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
  7. The StreetLearn Environment and Dataset
    2019/03/04 by Piotr Mirowski, Andras Banki-Horvath, Mirowski, Piotr +19 · 4 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
  8. Transframer: Arbitrary Frame Prediction with Generative Models
    2022/03/17 by Charlie Nash, Nash, Charlie, João Carreira +11 · 3 citations
    Computer Science · #Advanced Vision and Imaging #Advanced Image Processing Techniques #Generative Adversarial Networks and Image Synthesis
  9. Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models
    2024/02/06 by Spyridon Mouselinos, Henryk Michalewski, Mouselinos, Spyridon +3 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
  10. Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
    2021/07/20 by Tim Franzmeyer, Mateusz Malinowski, Franzmeyer, Tim +3 · 2 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Data Stream Mining Techniques
  11. Learning dynamic polynomial proofs
    2019/06/04 by Alhussein Fawzi, Fawzi, Alhussein, Mateusz Malinowski +5 · 1 citation
    Computer Science · #Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Logic, programming, and type systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Polynomial and algebraic computation
  12. Measuring and Improving BERT's Mathematical Abilities by Predicting the\n Order of Reasoning
    2021/06/07 by Piotr Piękos, Piękos, Piotr, Henryk Michalewski +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  13. Compressed Vision for Efficient Video Understanding
    2022/10/06 by Olivia Wiles, Wiles, Olivia, João Carreira +7 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Advanced Image and Video Retrieval Techniques #CCD and CMOS Imaging Sensors
  14. A Simple, Yet Effective Approach to Finding Biases in Code Generation
    2022/10/31 by Spyridon Mouselinos, Mateusz Malinowski, Mouselinos, Spyridon +3 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
  15. Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions
    2018/09/11 by Misha Wagner, Wagner, M., Hector Basevi +11 · 1 citation
    Computer Science · #68 #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications