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Nicolas Resch

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3 papers
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3

SODA Conference 2023 Conference Paper

Interactive Coding with Small Memory

  • Klim Efremenko
  • Bernhard Haeupler
  • Yael Tauman Kalai
  • Gillat Kol
  • Nicolas Resch
  • Raghuvansh R. Saxena

In this work, we design an interactive coding scheme that converts any two party interactive protocol Π into another interactive protocol Π', such that even if errors are introduced during the execution of Π', the parties are able to determine what the outcome of running Π would be in an error-free setting. Importantly, our scheme preserves the space complexity of the protocol, in addition to the communication and computational complexities. Specifically, if the protocol Π has communication complexity T, computational complexity t, and space complexity s, the resulting protocol Π' is resilient to a constant ε > 0 fraction of adversarial errors, and has communication complexity approaching T as ε approaches 0, computational complexity poly( t ), and space complexity 𝒪( s log T ). Prior to this work, all known interactive coding schemes required the parties to use at least Ω( T ) space, as the parties were required to remember the transcript of the conversation thus far, or considered weaker error models.

STOC Conference 2022 Conference Paper

Circuits resilient to short-circuit errors

  • Klim Efremenko
  • Bernhard Haeupler
  • Yael Tauman Kalai
  • Pritish Kamath
  • Gillat Kol
  • Nicolas Resch
  • Raghuvansh R. Saxena

Given a Boolean circuit C , we wish to convert it to a circuit C ′ that computes the same function as C even if some of its gates suffer from adversarial short circuit errors, i.e., their output is replaced by the value of one of their inputs. Can we design such a resilient circuit C ′ whose size is roughly comparable to that of C ? Prior work gave a positive answer for the special case where C is a formula.

FOCS Conference 2020 Conference Paper

LDPC Codes Achieve List Decoding Capacity

  • Jonathan Mosheiff
  • Nicolas Resch
  • Noga Ron-Zewi
  • Shashwat Silas
  • Mary Wootters

We show that Gallager's ensemble of Low-Density Parity Check (LDPC) codes achieves list-decoding capacity with high probability. These are the first graph-based codes shown to have this property. This result opens up a potential avenue towards truly linear-time list-decodable codes that achieve list-decoding capacity. Our result on list decoding follows from a much more general result: any local property satisfied with high probability by a random linear code is also satisfied with high probability by a random LDPC code from Gallager's distribution. Local properties are properties characterized by the exclusion of small sets of codewords, and include list-decoding, list-recovery and average-radius list-decoding. In order to prove our results on LDPC codes, we establish sharp thresholds for when local properties are satisfied by a random linear code. More precisely, we show that for any local property $\mathcal{P}$, there is some $R^{\ast}$ so that random linear codes of rate slightly less than $R^{\ast}$ satisfy $\mathcal{P}$ with high probability, while random linear codes of rate slightly more than $R^{\ast}$ with high probability do not. We also give a characterization of the threshold rate $R^{\ast}$. This is an extended abstract. The full version is available at https: //arxiv. org/abs/1909. 06430

v2026.09.13