Zobrazeno 1 - 10
of 25 587
pro vyhledávání: '"Rooij, A."'
Autor:
de Rooij, Steven A. H., Fermin, Remko, Kouwenhoven, Kevin, Coppens, Tonny, Murugesan, Vignesh, Thoen, David J., Aarts, Jan, Baselmans, Jochem J. A., de Visser, Pieter J.
Disordered superconductors offer new impedance regimes for quantum circuits, enable a pathway to protected qubits and improve superconducting single photon detectors due to their high kinetic inductance and sheet resistance. However, the relaxation o
Externí odkaz:
http://arxiv.org/abs/2410.18802
Holographic light potentials generated by phase-modulating liquid-crystal spatial light modulators (SLMs) are widely used in quantum technology applications. Accurate calibration of the wavefront and intensity profile of the laser beam at the SLM dis
Externí odkaz:
http://arxiv.org/abs/2408.07672
Recent developments in wearable devices have made accurate and efficient seizure detection more important than ever. A challenge in seizure detection is that patient-specific models typically outperform patient-independent models. However, in a weara
Externí odkaz:
http://arxiv.org/abs/2408.00437
Recent scholarship on reasoning in LLMs has supplied evidence of impressive performance and flexible adaptation to machine generated or human feedback. Nonmonotonic reasoning, crucial to human cognition for navigating the real world, remains a challe
Externí odkaz:
http://arxiv.org/abs/2406.06590
In this paper, we propose the generalized mixed reduced rank regression method, GMR$^3$ for short. GMR$^3$ is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, or
Externí odkaz:
http://arxiv.org/abs/2405.19865
Autor:
Hering, Alessa, de Boer, Sarah, Saha, Anindo, Twilt, Jasper J., Heinrich, Mattias P., Yakar, Derya, de Rooij, Maarten, Huisman, Henkjan, Bosma, Joeran S.
The PI-CAI (Prostate Imaging: Cancer AI) challenge led to expert-level diagnostic algorithms for clinically significant prostate cancer detection. The algorithms receive biparametric MRI scans as input, which consist of T2-weighted and diffusion-weig
Externí odkaz:
http://arxiv.org/abs/2404.09666
Autor:
de Rooij, Mark
In this paper, we propose to decompose the canonical parameter of a multinomial model into a set of participant scores and category scores. Both sets of scores are linearly constraint to represent external information about the participants and categ
Externí odkaz:
http://arxiv.org/abs/2402.07634
We present a multidimensional data analysis framework for the analysis of ordinal response variables. Underlying the ordinal variables, we assume a continuous latent variable, leading to cumulative logit models. The framework includes unsupervised me
Externí odkaz:
http://arxiv.org/abs/2402.07629
We propose a new mapping tool for supervised and unsupervised analysis of multivariate binary data with multiple items, questions, or response variables. The mapping assumes an underlying proximity response function, where participants can have multi
Externí odkaz:
http://arxiv.org/abs/2402.07624
Autor:
Cruickshank, Robbie, Di Carli, Andrea, Mitchell, Matthew, La Rooij, Arthur, Kuhr, Stefan, Creffield, Charles E., Haller, Elmar
Tilted lattice potentials with periodic driving play a crucial role in the study of artificial gauge fields and topological phases with ultracold quantum gases. However, driving-induced heating and the growth of phonon modes restrict their use for pr
Externí odkaz:
http://arxiv.org/abs/2401.05265