activity
20142026
most citedQuipuNet: convolutional neural network for single-molecule nanopore sensing

83 citations · 293 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026★ 3 cited

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…

eess.AS2022★ 1 cited

Neural Architecture Search for Energy Efficient Always-on Audio Models

Daniel T. Speckhard, Karolis Misiunas, Sagi Perel +3

Mobile and edge computing devices for always-on classification tasks require energy-efficient neural network architectures. In this paper we present several changes to neural archi…

eess.AS2020

SEANet: A Multi-modal Speech Enhancement Network

Marco Tagliasacchi, Yunpeng Li, Karolis Misiunas +1

We explore the possibility of leveraging accelerometer data to perform speech enhancement in very noisy conditions. Although it is possible to only partially reconstruct user's spe…

cond-mat.soft2019★ 63 cited

Nonlinear Electrophoresis of Highly Charged Nonpolarizable Particles

Soichiro Tottori, Karolis Misiunas, Ulrich F. Keyser +1

Nonlinear field dependence of electrophoresis in high fields has been investigated theoretically, yet experimental studies have failed to reach consensus on the effect. In this wor…

cond-mat.soft2018★ 23 cited

Density dependent speed-up of particle transport in channels

Karolis Misiunas, Ulrich F. Keyser

Collective transport through channels shows surprising properties under one-dimensional confinement: particles in a single file exhibit sub-diffusive behavior, while liquid confine…

q-bio.QM2018★ 83 cited

QuipuNet: convolutional neural network for single-molecule nanopore sensing

Karolis Misiunas, Niklas Ermann, Ulrich F. Keyser

Nanopore sensing is a versatile technique for the analysis of molecules on the single-molecule level. However, extracting information from data with established algorithms usually…

physics.bio-ph2015★ 54 cited

Non-decaying hydrodynamic interactions along narrow channels

Karolis Misiunas, Stefano Pagliara, Eric Lauga +2

Particle-particle interactions are of paramount importance in every multi-body system as they determine the collective behaviour and coupling strength. Many well-known interactions…

physics.flu-dyn2014★ 66 cited

Anisotropic diffusion of spherical particles in closely confining microchannels

Simon L Dettmer, Stefano Pagliara, Karolis Misiunas +1

We present here the measurement of the diffusivity of spherical particles closely confined by narrow microchannels. Our experiments yield a two-dimensional map of the position-depe…