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I. Daubechies

47 papers hereh-index 7377k citations280 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author12
  • last author21

Across the 42 of 47 papers where every author was matched, so the position is known.

fields
  • math.NA11
  • cs.CV8
  • math.FA6
  • cs.IT3
  • cs.LG3
  • physics.geo-ph3
same name
  • I. Daubechies — 2 papers, h 2
  • I. Daubechies — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20032022
most citedSparse and stable Markowitz portfolios

502 citations · 1.8k across the 42 of their papers we have counts for

collaborators
Showing 2008Show all

4 papers · 1 filter

cs.IT2008★ 24 cited

The Golden Ratio Encoder

I. Daubechies, C. S. Güntürk, Y. Wang +1

This paper proposes a novel Nyquist-rate analog-to-digital (A/D) conversion algorithm which achieves exponential accuracy in the bit-rate despite using imperfect components. The pr…

physics.geo-ph2008★ 63 cited

Nonlinear regularization techniques for seismic tomography

I. Loris, H. Douma, G. Nolet +2

The effects of several nonlinear regularization techniques are discussed in the framework of 3D seismic tomography. Traditional, linear, ℓ2​ penalties are compared to so-calle…

math.NA2008

Iteratively re-weighted least squares minimization for sparse recovery

Ingrid Daubechies, Ronald DeVore, Massimo Fornasier +1

We analyze an Iteratively Re-weighted Least Squares (IRLS) algorithm for promoting l1-minimization in sparse and compressible vector recovery. We prove its convergence and we estim…

stat.ML2008★ 30 cited

Analysis of boosting algorithms using the smooth margin function

Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies

We introduce a useful tool for analyzing boosting algorithms called the ``smooth margin function,'' a differentiable approximation of the usual margin for boosting algorithms. We p…

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