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Marco Mondelli

53 papers hereh-index 252.2k citations76 works total

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

author position
  • first author12
  • middle author20
  • last author17

Across the 49 of 53 papers where every author was matched, so the position is known.

fields
  • cs.IT28
  • stat.ML12
  • cs.LG11
  • math.ST2
same name
  • Marco Mondelli — 20 papers, h 7
  • Marco Mondelli — 9 papers, h 2
  • Marco Mondelli — 1 paper

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
20132024
most citedRate-Flexible Fast Polar Decoders

26 citations · 137 across the 41 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 5 cited

Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks

Alexander Shevchenko, Marco Mondelli

The optimization of multilayer neural networks typically leads to a solution with zero training error, yet the landscape can exhibit spurious local minima and the minima can be dis…

cs.IT2019

Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes

Marco Mondelli, Seyyed Ali Hashemi, John Cioffi +1

This work analyzes the latency of the simplified successive cancellation (SSC) decoding scheme for polar codes proposed by Alamdar-Yazdi and Kschischang. It is shown that, unlike c…

cs.IT2019★ 26 cited

Rate-Flexible Fast Polar Decoders

Seyyed Ali Hashemi, Carlo Condo, Marco Mondelli +1

Polar codes have gained extensive attention during the past few years and recently they have been selected for the next generation of wireless communications standards (5G). Succes…

math.ST2019

Analysis of a Two-Layer Neural Network via Displacement Convexity

Adel Javanmard, Marco Mondelli, Andrea Montanari

Fitting a function by using linear combinations of a large number N of `simple' components is one of the most fruitful ideas in statistical learning. This idea lies at the core o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.