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Gitta Kutyniok

  1. The Modern Mathematics of Deep Learning
    2021/05/09 by Julius Berner, Philipp Grohs, Gitta Kutyniok +1 · 6 voices · 1 citation
    Computer Science · Physics and Astronomy · Engineering · #Neural Networks and Applications #Model Reduction and Neural Networks #Sparse and Compressive Sensing Techniques
  2. ChatGPT for good? On opportunities and challenges of large language models for education
    2023/03/09 by Enkelejda Kasneci, Kathrin Seßler, Kathrin Sessler +23 · 178 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Online Learning and Analytics #Topic Modeling
  3. The Mathematics of Artificial Intelligence
    2022/03/16 by Gitta Kutyniok, Kutyniok, Gitta · 2 voices
    Computer Science · Engineering · #Advanced Data Processing Techniques #Computational Physics and Python Applications #Neural Networks and Applications #cs.LG #math.HO #stat.ML
  4. Dataset of Pathloss and ToA Radio Maps With Localization Application
    2022/11/18 by Çağkan Yapar, Yapar, Çağkan, Ron Levie +5 · 10 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Millimeter-Wave Propagation and Modeling #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Speech and Audio Processing #electronic engineering #information engineering
  5. Error bounds for approximations with deep ReLU neural networks in\n Ws,p norms
    2019/02/21 by Ingo Gühring, Gühring, Ingo, Gitta Kutyniok +3 · 7 citations
    Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Numerical Methods and Algorithms #Advanced Numerical Analysis Techniques
  6. Sumformer: Universal Approximation for Efficient Transformers
    2023/07/05 by Silas Alberti, Niclas Dern, Alberti, Silas +5 · 6 citations
    Computer Science · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Topic Modeling
  7. Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
    2021/06/23 by Çağkan Yapar, Ron Levie, Yapar, Çağkan +5 · 4 citations
    Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Radio Wave Propagation Studies #Signal Processing (eess.SP) #Underwater Vehicles and Communication Systems #electronic engineering #information engineering
  8. Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
    2022/02/01 by Sohir Maskey, Maskey, Sohir, Ron Levie +5 · 4 citations
    Computer Science · Engineering · #68R10 #68T07 #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Numerical Analysis (math.NA) #Probability (math.PR)
  9. Scalable Frames and Convex Geometry
    2013/10/30 by Gitta Kutyniok, Kutyniok, Gitta, Kasso A. Okoudjou +3 · 2 citations
    Medicine · #15A03 #42C15 #52B11 #65F08 #Cell Adhesion Molecules Research #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Information Theory (cs.IT) #Medical Imaging Techniques and Applications #Numerical Analysis (math.NA)
  10. The First Pathloss Radio Map Prediction Challenge
    2023/10/11 by Çağkan Yapar, Fabian Jaensch, Yapar, Çağkan +7 · 2 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Speech Recognition and Synthesis #electronic engineering #information engineering
  11. Graph Representational Learning: When Does More Expressivity Hurt Generalization?
    2025/05/16 by Sohir Maskey, Raffaele Paolino, Maskey, Sohir +7 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Graph Theory and Algorithms
  12. RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation
    2025/06/27 by Liudi Yang, Yang, Liudi, Yang Bai +16 · 5 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Robot Manipulation and Learning
  13. Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
    2024/03/20 by Raffaele Paolino, Paolino, Raffaele, Sohir Maskey +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  14. An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
    2025/04/25 by Christopher Bülte, Bülte, Christopher, Yusuf Sale +9 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  15. A Rate-Distortion Framework for Explaining Neural Network Decisions
    2019/05/27 by Jan Macdonald, Macdonald, Jan, Stephan Wäldchen +5 · 1 citation
    Computer Science · Engineering · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Reservoir Engineering and Simulation Methods
  16. DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos
    2025/12/16 by Yang Bai, Bai, Yang, Liudi Yang +11 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Motion and Animation #Robot Manipulation and Learning #Robotics (cs.RO)