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19922026
most citedSpecificity and stability in topology of protein networks

3.1k citations

Showing 2023Show all

155 papers · 1 filter

cs.CV2023★ 2 cited

EGAIN: Extended GAn INversion

Wassim Kabbani, Marcel Grimmer, Christoph Busch

Generative Adversarial Networks (GANs) have witnessed significant advances in recent years, generating increasingly higher quality images, which are non-distinguishable from real o…

cs.LG2023

Misclassification excess risk bounds for 1-bit matrix completion

The Tien Mai

This study investigates the misclassification excess risk bound in the context of 1-bit matrix completion, a significant problem in machine learning involving the recovery of an un…

cond-mat.supr-con2023★ 33 cited

Tuning the Josephson diode response with an ac current

Rubén Seoane Souto, Martin Leijnse, Constantin Schrade +3

Josephson diodes are superconducting elements that show an asymmetry in the critical current depending on the direction of the current. Here, we theoretically explore how an altern…

quant-ph2023★ 30 cited

Collective Strong Coupling Modifies Aggregation and Solvation

Matteo Castagnola, Tor S. Haugland, Enrico Ronca +2

Intermolecular interactions are pivotal for aggregation, solvation, and crystallization. We demonstrate that the collective strong coupling of several molecules to a single optical…

cs.AI2023

Examining the Effect of Implementation Factors on Deep Learning Reproducibility

Kevin Coakley, Christine R. Kirkpatrick, Odd Erik Gundersen

Reproducing published deep learning papers to validate their conclusions can be difficult due to sources of irreproducibility. We investigate the impact that implementation factors…

gr-qc2023

Scalar Product for a Version of Minisuperspace Model with Grassmann Variables

Sergey L. Cherkas, Vladimir L. Kalashnikov

Grassmann variables are used to formally transform a system with constraints into an unconstrained system. As a result, the Schrödinger equation arises instead of the Wheeler-DeWit…

math.OA2023

Conditionally monotone cumulants via shuffle algebra

Adrian Celestino, Kurusch Ebrahimi-Fard

In this work we study conditional monotone cumulants and additive convolution in the shuffle-algebraic approach to non-commutative probability. We describe c-monotone cumulants as…

astro-ph.HE2023★ 18 cited

Where Did the Amaterasu Particle Come From?

Michael Unger, Glennys R. Farrar

The Telescope Array Collaboration recently reported the detection of a cosmic-ray particle, "Amaterasu", with an extremely high energy of eV. Here we investigate…

stat.ME2023★ 7 cited

High-dimensional sparse classification using exponential weighting with empirical hinge loss

The Tien Mai

In this study, we address the problem of high-dimensional binary classification. Our proposed solution involves employing an aggregation technique founded on exponential weights an…

physics.ao-ph2023

Empirical model of SSUSI-derived auroral ionization rates

Stefan Bender, Patrick J. Espy, Larry J. Paxton

We present an empirical model for auroral (90--150 km) electron--ion pair production rates, ionization rates for short, derived from SSUSI (Special Sensor Ultraviolet Spectrographi…

cond-mat.mtrl-sci2023★ 15 cited

Topological magnon gap engineering in van der Waals CrI ferromagnets

Verena Brehm, Pawel Sobieszczyk, Jostein Kløgetvedt +3

The microscopic origin of the topological magnon band gap in CrI ferromagnets has been a subject of controversy for years since two main models with distinct characteristics, i…

cs.RO2023★ 1 cited

Learning of Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces

Torbjørn Smith, Olav Egeland

This paper presents a method for learning Hamiltonian dynamics from a limited set of data points. The Hamiltonian vector field is found by regularized optimization over a reproduci…

cond-mat.mes-hall2023

Position operators and interband matrix elements of scalar and vector potentials in the 8-band Kane model

I. A. Ado, M. Titov, Rembert A. Duine +1

We diagonalize the 8-band Kane Hamiltonian with a proper inclusion of the interband matrix elements of the scalar and vector potentials. This leads, among other results, to a modif…

math.AT2023

Twisted Spectra Revisited

Alice Hedenlund, Tasos Moulinos

We recapture Douglas' framework for twisted parametrized stable homotopy theory in the language of - categories. A twisted spectrum is essentially a section of a bundle of…

cs.RO2023★ 12 cited

RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation

Pavel Petracek, Kostas Alexis, Martin Saska

The typical point cloud sampling methods used in state estimation for mobile robots preserve a high level of point redundancy. This redundancy unnecessarily slows down the estimati…

cond-mat.supr-con2023★ 4 cited

Non-constant geometric curvature for tailored spin-orbit coupling and chirality in superconductor-magnet heterostructures

Alv Johan Skarpeid, Henning G. Hugdal, Tancredi Salamone +2

We show that tailoring the geometric curvature profile of magnets can be used for bespoke design of an effective non-relativistic spin-orbit coupling, which may be used to control…

math.AP2023

Equivalence of entropy solutions and gradient flows for pressureless 1D Euler systems

José Antonio Carrillo, Sondre Tesdal Galtung

We study distributional solutions of pressureless Euler systems on the line. In particular we show that Lagrangian solutions, introduced by Brenier, Gangbo, Savaré and Westdickenbe…

eess.SP2023

Design and Implementation of a Hybrid Wireless Power and Communication System for Medical Implants

A. Khaleghi, A. Hasanvand, I. Balasingham

Data collection and analysis from multiple implant nodes in humans can provide targeted medicine and treatment strategies that can prevent many chronic diseases. This data can be c…

physics.ao-ph2023★ 6 cited

Biases from spectral leakage in remote sensing of near-surface currents

Stefan Weichert, Benjamin K. Smeltzer, Simen Å. Ellingsen

Remotely measuring subsurface water currents from imagery of the wave field has become a much-used technique. We study the biases and errors in such measurements due to spectral le…

cs.CV2023★ 8 cited

Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition

Fernando Alonso-Fernandez, Kiran B. Raja, Christoph Busch +1

The proliferation of cameras and personal devices results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop whe…

astro-ph.GA2023★ 80 cited

The Coherent Magnetic Field of the Milky Way

Michael Unger, Glennys R. Farrar

We present a suite of models of the coherent magnetic field of the Galaxy (GMF) based on new divergence-free parametric functions describing the global structure of the field. The…

cond-mat.supr-con2023★ 9 cited

Interface probe for antiferromagnets using geometric curvature

Tancredi Salamone, Magnus Skjærpe, Henning G. Hugdal +2

We propose that geometric curvature and torsion may be used to probe the quality of an uncompensated antiferromagnetic interface, using the proximity effect. We study a helix of an…

astro-ph.HE2023★ 23 cited

Chasing the break: Tracing the full evolution of a black hole X-ray binary jet with multi-wavelength spectral modeling

Constanza Echiburú-Trujillo, Alexandra J. Tetarenko, Daryl Haggard +35

Black hole X-ray binaries (BH XRBs) are ideal targets to study the connection between accretion inflow and jet outflow. Here we present quasi-simultaneous, multi-wavelength observa…

eess.SY2023★ 14 cited

Flexibility of Integrated Power and Gas Systems: Gas Flow Modeling and Solution Choices Matter

Enrica Raheli, Yannick Werner, Jalal Kazempour

Due to their slow gas flow dynamics, natural gas pipelines function as short-term storage, the so-called linepack. By efficiently utilizing linepack, the natural gas system can pro…