Helmut Bölcskei
Full Professor
Studies the mathematical foundations of information science, including approximation theory and expressivity of deep neural networks and mathematical signal processing.
Helmut Bölcskei's lab at ETH Zurich works on learning theory & optimization, signal processing & information theory and speech enhancement & signal processing. 9 papers since 2023, mostly Neural Networks. 6 PhD students. 24 alumni, most often to Google and Arborea Ventures GmbH.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 0%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 24
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 0 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOtherVenues: Neural Networks
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- Signal processing & information theory1 paper
- Speech enhancement & signal processing0 papers
- mathematical0 papers
- mathematical foundations0 papers
Paper list
From the lab homepage.
20266 papers
- Neural NetworksA quantifier-reversal approximation paradigm for recurrent neural networks (opens in a new tab)
- Foundations of Computational MathematicsCovering numbers for deep ReLU networks with applications to function approximation and nonparametric regression (opens in a new tab)
- IEEE Transactions on Signal ProcessingExtracting formulae in many-valued logic from deep neural networks (opens in a new tab)
- Applied and Computational Harmonic AnalysisMatrix discrepancy for representations of finite groups (opens in a new tab)
- Journal of Functional AnalysisMetric entropy of ellipsoids in Banach spaces: Techniques and precise asymptotics (opens in a new tab)
- Information Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron, SpringerMetric-entropy limits on the approximation of nonlinear dynamical systems (opens in a new tab)
20251 paper
- Applied and Computational Harmonic AnalysisEntropy of compact operators with applications to Landau-Pollak-Slepian theory and Sobolev spaces (opens in a new tab)
20232 papers
- Journal of Fourier Analysis and ApplicationsBeurling-type density criteria for system identification (opens in a new tab)
- Information and Inference: A Journal of the IMALossy compression of general random variables (opens in a new tab)
Where alumni went24 listed, 67% to industry
Industry 6Academia 3
Most often to
- Arborea Ventures GmbH
- Citadel
Also to
- EPFL
- ETH Zurich
- Stanford University
Apply to ETH ZurichRolling
Not announced yet
Computer Science Doctorate (D-INFK)
- Round
- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
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- Papers
- The lab homepage
- Members
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- Lab homepage
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