activity
20122021
most citedPrivacy Odometers and Filters: Pay-as-you-Go Composition

40 citations · 78 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 4 cited

Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data

Indrani Sarkar, Indranil Maji, Charitha Omprakash +3

The assessment of laboratory animal behavior is of central interest in modern neuroscience research. Behavior is typically studied in terms of pose changes, which are ideally captu…

q-bio.NC2016★ 3 cited

Multiscale modeling via split-step methods in neural firing

Pavol Bauer, Stefan Engblom, Sanja Mikulovic +1

Neuronal models based on the Hodgkin-Huxley equation form a fundamental framework in the field of computational neuroscience. While the neuronal state is often modeled deterministi…

cs.CR2016★ 40 cited

Privacy Odometers and Filters: Pay-as-you-Go Composition

Ryan Rogers, Aaron Roth, Jonathan Ullman +1

In this paper we initiate the study of adaptive composition in differential privacy when the length of the composition, and the privacy parameters themselves can be chosen adaptive…

q-bio.MN2015★ 13 cited

Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks

Andreas Milias-Argeitis, Stefan Engblom, Pavol Bauer +1

Nature presents multiple intriguing examples of processes which proceed at high precision and regularity. This remarkable stability is frequently counter to modelers' experience wi…

q-bio.PE2015★ 16 cited

Fast event-based epidemiological simulations on national scales

Pavol Bauer, Stefan Engblom, Stefan Widgren

We present a computational modeling framework for data-driven simulations and analysis of infectious disease spread in large populations. For the purpose of efficient simulations,…

q-bio.NC2012★ 2 cited

Finite element analysis of neuronal electric fields: the effect of heterogeneous resistivity

Pavol Bauer, Sanja Mikulovic, Stefan Engblom +3

Simulation of extracellular fields is one of the substantial methods used in the area of computational neuroscience. Its most common usage is validation of experimental methods as…