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Greff, Klaus

  1. Highway Networks
    2015/05/03 by Rupesh Kumar Srivastava, Rupesh K. Srivastava, Srivastava, Rupesh Kumar +4 · 1 voice · 24 citations
    Computer Science · #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
  2. PaLM-E: An Embodied Multimodal Language Model
    2023/03/06 by Danny Driess, Fei Xia, Driess, Danny +41 · 266 citations
    Computer Science · #Multimodal Machine Learning Applications #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
  3. Gemma 3 Technical Report
    2025/03/25 by Aishwarya Kamath, Gemma Team, Kamath, Aishwarya +418 · 3 voices · 456 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  4. Getting aligned on representational alignment
    2023/10/18 by Ilia Sucholutsky, Lukas Muttenthaler, Sucholutsky, Ilia +66 · 10 voices · 34 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
  5. On the Binding Problem in Artificial Neural Networks
    2020/12/09 by Klaus Greff, Sjoerd van Steenkiste, Greff, Klaus +3 · 3 voices · 14 citations
    Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural Networks and Applications #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE
  6. Kubric: A scalable dataset generator
    2022/03/07 by Klaus Greff, Francois Belletti, Greff, Klaus +65 · 39 citations
    Environmental Science · Computer Science · #Remote Sensing and LiDAR Applications #Advanced Neural Network Applications #Computer Graphics and Visualization Techniques
  7. Conditional Object-Centric Learning from Video
    2021/11/24 by Kipf, Thomas, Elsayed, Gamaleldin F., Mahendran, Aravindh +6 · 14 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
    2022/06/15 by Elsayed, Gamaleldin F., Mahendran, Aravindh, van Steenkiste, Sjoerd +3 · 12 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Scaling 4D Representations
    2024/12/19 by João Carreira, Carreira, João, Dilara Gokay +67 · 3 voices · 12 citations
    #cs.CV #cs.AI #cs.LG
  10. SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
    2022/10/12 by Ziyi Wu, Wu, Ziyi, Nikita Dvornik +7 · 10 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 #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  11. Training Very Deep Networks
    2015/07/22 by Srivastava, Rupesh Kumar, Greff, Klaus, Schmidhuber, Jürgen · 5 citations
    #68T01 #FOS: Computer and information sciences #G.1.6 #I.2.6 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  12. Highway and Residual Networks learn Unrolled Iterative Estimation
    2016/12/22 by Klaus Greff, Greff, Klaus, Rupesh K. Srivastava +3 · 7 citations
    Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Machine Learning and Algorithms #Multidisciplinary Science and Engineering Research #Neural and Evolutionary Computing (cs.NE)
  13. A Clockwork RNN
    2014/02/14 by Jan Koutník, Klaus Greff, Koutník, Jan +5 · 4 citations
    Computer Science · #Speech Recognition and Synthesis #Music and Audio Processing #Time Series Analysis and Forecasting
  14. NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
    2021/11/25 by Suhani Vora, Noha Radwan, Vora, Suhani +15 · 6 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #Robotics and Sensor-Based Localization
  15. Neural Expectation Maximization
    2017/08/11 by Greff, Klaus, van Steenkiste, Sjoerd, Schmidhuber, Jürgen · 4 citations
    #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  16. RUST: Latent Neural Scene Representations from Unposed Imagery
    2022/11/25 by Mehdi S. M. Sajjadi, Aravindh Mahendran, Sajjadi, Mehdi S. M. +11 · 6 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Graphics (cs.GR) #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization #electronic engineering #information engineering
  17. Object Scene Representation Transformer
    2022/06/14 by Mehdi S. M. Sajjadi, Daniel Duckworth, Sajjadi, Mehdi S. M. +15 · 5 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization
  18. Tagger: Deep Unsupervised Perceptual Grouping
    2016/06/21 by Greff, Klaus, Rasmus, Antti, Berglund, Mathias +3 · 2 citations
    #97R40 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  19. Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
    2018/02/28 by van Steenkiste, Sjoerd, Chang, Michael, Greff, Klaus +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  20. DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
    2023/10/09 by Seitzer, Maximilian, van Steenkiste, Sjoerd, Kipf, Thomas +2 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG) #Robotics (cs.RO)
  21. Binding via Reconstruction Clustering
    2015/11/19 by Klaus Greff, Rupesh K. Srivastava, Greff, Klaus +3 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Cell Image Analysis Techniques #Image and Signal Denoising Methods
  22. Moving Off-the-Grid: Scene-Grounded Video Representations
    2024/11/08 by Sjoerd van Steenkiste, Daniel Zoran, van Steenkiste, Sjoerd +29 · 2 voices · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CV #cs.LG
  23. Sensitivity of Slot-Based Object-Centric Models to their Number of Slots
    2023/05/30 by R. Zimmermann, Sjoerd van Steenkiste, Zimmermann, Roland S. +7 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Remote-Sensing Image Classification