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Bölcskei, Helmut

  1. A Mathematical Theory of Deep Convolutional Neural Networks for Feature\n Extraction
    2015/12/19 by Thomas Wiatowski, Helmut Bölcskei, Wiatowski, Thomas +1 · 1 voice · 2 citations
    Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Image and Signal Denoising Methods #Seismic Imaging and Inversion Techniques #Model Reduction and Neural Networks
  2. Deep Neural Network Approximation Theory
    2019/01/08 by Elbrächter, Dennis, Perekrestenko, Dmytro, Grohs, Philipp +1 · 12 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Optimal Approximation with Sparsely Connected Deep Neural Networks
    2017/05/04 by Bölcskei, Helmut, Grohs, Philipp, Kutyniok, Gitta +1 · 6 citations
    #41A25 #41A46 #42C15 #42C40 #68T05 #82C32 #94A12 #94A34 #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Information Theory (cs.IT) #Machine Learning (cs.LG)
  4. Recovery of Sparsely Corrupted Signals
    2011/02/08 by Studer, Christoph, Kuppinger, Patrick, Pope, Graeme +1 · 2 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  5. Rate-Distortion Theory for General Sets and Measures
    2018/04/24 by Riegler, Erwin, Koliander, Günther, Bölcskei, Helmut · 2 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  6. Subspace clustering of dimensionality-reduced data
    2014/04/27 by Heckel, Reinhard, Tschannen, Michael, Bölcskei, Helmut · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (stat.ML)
  7. Vandermonde Matrices with Nodes in the Unit Disk and the Large Sieve
    2017/01/10 by Aubel, Céline, Bölcskei, Helmut · 1 citation
    #15A12 #65F35 #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Information Theory (cs.IT) #Number Theory (math.NT) #Numerical Analysis (math.NA)
  8. Neural network identifiability for a family of sigmoidal nonlinearities
    2019/06/11 by Vlačić, Verner, Bölcskei, Helmut · 1 citation
    #Artificial Intelligence (cs.AI) #Combinatorics (math.CO) #Complex Variables (math.CV) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML)
  9. Affine symmetries and neural network identifiability
    2020/06/21 by Vlačić, Verner, Bölcskei, Helmut · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Lossy Compression of General Random Variables
    2021/11/24 by Riegler, Erwin, Bölcskei, Helmut, Koliander, Günther · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Probability (math.PR)
  11. Generating Rectifiable Measures through Neural Networks
    2024/12/06 by Erwin Riegler, Alex Bühler, Riegler, Erwin +5 · 2 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Probability (math.PR) #Statistics Theory (math.ST)
  12. Cellular automata, many-valued logic, and deep neural networks
    2024/04/08 by Yani Zhang, Helmut Bölcskei, Zhang, Yani +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Cellular Automata and Applications #FOS: Computer and information sciences #Quantum-Dot Cellular Automata
  13. Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression
    2024/10/08 by Ou, Weigutian, Bölcskei, Helmut · 1 citation
    #41A25 #62G08 #68T07 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)