activity
20242026
most citedPartial versus total resetting for Lévy flights in d dimensions: similarities and discrepancies

6 citations · 7 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2026

Hyperspherical Contrastive Representations Unlock Planning and Exploration

Jonghae Park, Sungil Son, Jonghun Shin +3

We develop a self-supervised reinforcement learning algorithm that learns to build towers of up to eight cubes from scratch, without prior data, rewards, demonstrations, or pretrai…

math.PR2026

Moments of polynomial processes under affine resetting

Johannes Assefa, Martin Keller-Ressel, Zbigniew Palmowski

We consider polynomial processes, i.e., continuous-time Markov processes that preserve polynomials without increasing degree, and augment them with resetting. Resetting means that…

cs.LG2026

Early predicting of hospital admission using machine learning algorithms: Priority queues approach

Jakub Antczak, James Montgomery, Małgorzata O'Reilly +2

Emergency Department overcrowding is a critical issue that compromises patient safety and operational efficiency, necessitating accurate demand forecasting for effective resource a…

cond-mat.stat-mech2025

Hitting the blinking target under stochastic resetting

Bartosz Zbik, Bartłomiej Dybiec, Karol Capała +2

The first hitting times of a stochastic process, i.e., the first time a process reaches a particular level, are of significant interest across various scientific disciplines, inclu…

math.PR2025

Finite-Time Ruin for the Compound Markov Binomial Risk Model

Zbigniew Palmowski, Lewis Ramsden, Apostolos D. Papaioannou

In this paper, we study finite-time ruin probabilities for the compound Markov binomial risk model - a discrete-time model where claim sizes are modulated by a finite-state ergodic…

cond-mat.stat-mech2025★ 6 cited

Partial versus total resetting for Lévy flights in d dimensions: similarities and discrepancies

Costantino Di Bello, Aleksei Chechkin, Tomasz Grzywny +3

While stochastic resetting (or total resetting) is less young and more established concept in stochastic processes, partial stochastic resetting (PSR) is a relatively new field. PS…

math.PR2024★ 1 cited

Stationary states for stable processes with partial resetting

Tomasz Grzywny, Karol Szczypkowski, Zbigniew Palmowski +1

We study a -dimensional stochastic process which arises from a Lévy process by partial resetting, that is the position of the process at a…

math.PR2024

Stable random walks in cones

Wojciech Cygan, Denis Denisov, Zbigniew Palmowski +1

In this paper we consider a multidimensional random walk killed on leaving a right circular cone with a distribution of increments belonging to the normal domain of attraction of a…

math.PR2024

Branching random walk and log-slowly varying tails

Ayan Bhattacharya, Piotr Dyszewski, Nina Gantert +1

We study a branching random walk with independent and identically distributed, heavy tailed displacements. The offspring law is supercritical and satisfies the Kesten-Stigum condit…