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20242026
most citedA Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption

8 citations · 8 across the 8 of their papers we have counts for

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math.PR2026

Realising atomless laws as distance distributions on metric measure spaces

Christoph Thäle, Philipp Tuchel

We study which probability measures on can occur as the distribution of the distance between two independent points sampled from a complete separable metric space equi…

math.PR2026

Mod-phi convergence for random variables with cyclotomic generating functions

Christoph Thäle, Philipp Tuchel

We consider a sequence of discrete random variables whose generating functions are polynomials only having roots on the unit circle in the complex plane. For such sequences we prov…

math.PR2026

Large deviations for sums of multivariate stretched-exponential random variables: the few-big-jumps principle

Nina Gantert, Joscha Prochno, Philipp Tuchel

Large deviations for sums of i.i.d.\ random variables with stretched-exponential tails (also called Weibull or semi-exponential tails) have been well understood since the 60's, goi…

math.PR2025

Large and Moderate Deviations for Entries of Orthogonal Matrices and the Stiefel Manifold

Philipp Tuchel

Let be distributed according to the Haar probability measure on the orthogonal group for each . It is well-known that the upper left $m_N\tim…

math.PR2024

Limit Theorems for the Volume of Random Projections and Sections of -balls

Joscha Prochno, Christoph Thaele, Philipp Tuchel

Let be the -dimensional unit ball corresponding to the -norm. For each we sample a uniform random subspace of fixed dimension $m\i…