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Hariharan Narayanan

38 papers hereh-index 212.2k citations97 works total

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

author position
  • sole author12
  • first author9
  • middle author4
  • last author13

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • math.PR8
  • math.CO7
  • math.ST3
  • stat.ML3
  • cs.DS2
  • cs.LG2
same name
  • Hariharan Narayanan — 8 papers, h 4
  • Hariharan Narayanan — 3 papers, h 0
  • Hariharan Narayanan — 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
20052026
most citedEscaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions

45 citations · 142 across the 32 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

math.ST2019

Fitting a manifold of large reach to noisy data

Charles Fefferman, Sergei Ivanov, Matti Lassas +1

Let M⊂Rn be a C2-smooth compact submanifold of dimension d. Assume that the volume of M is at most V and the reach (i.e. the norm…

math.PR2019★ 1 cited

Random concave functions on an equilateral lattice with periodic Hessians I: entropy and Laplacians

Hariharan Narayanan

We show that a random concave function having a periodic hessian on an equilateral lattice has a quadratic scaling limit, if the average hessian of the function satisfies certain c…

math.NT2019

On the linking of number lattices

H. Narayanan, Hariharan Narayanan

In this paper we study ideas which have proved useful in topological network theory in the context of lattices of numbers. A number lattice LS​ is a collection of row vectors, ov…

math.PR2019

Reconstruction of a Riemannian manifold from noisy intrinsic distances

Charles Fefferman, Sergei Ivanov, Matti Lassas +1

We consider reconstruction of a manifold, or, invariant manifold learning, where a smooth Riemannian manifold M is determined from intrinsic distances (that is, geodesic distance…

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