Zobrazeno 1 - 10
of 49 884
pro vyhledávání: '"Neubauer BE"'
Autor:
Neubauer, Lukas, Filzmoser, Peter
A novel framework for hierarchical forecast updating is presented, addressing a critical gap in the forecasting literature. By assuming a temporal hierarchy structure, the innovative approach extends hierarchical forecast reconciliation to effectivel
Externí odkaz:
http://arxiv.org/abs/2411.01528
Reinforcement learning algorithms for mean-field games offer a scalable framework for optimizing policies in large populations of interacting agents. Existing methods often depend on online interactions or access to system dynamics, limiting their pr
Externí odkaz:
http://arxiv.org/abs/2410.17898
Autor:
Jeggle, Kai, Czerkawski, Mikolaj, Serva, Federico, Saux, Bertrand Le, Neubauer, David, Lohmann, Ulrike
IceCloudNet is a novel method based on machine learning able to predict high-quality vertically resolved cloud ice water contents (IWC) and ice crystal number concentrations (N$_\textrm{ice}$). The predictions come at the spatio-temporal coverage and
Externí odkaz:
http://arxiv.org/abs/2410.04135
Autor:
Badea, Anthony, Bean, Alice, Berry, Doug, Dickinson, Jennet, DiPetrillo, Karri, Fahim, Farah, Gray, Lindsey, Di Guglielmo, Giuseppe, Jiang, David, Kovach-Fuentes, Rachel, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Shekar, Danush, Swartz, Morris, Syal, Chinar, Tran, Nhan, Yoo, Jieun
Detectors at future high energy colliders will face enormous technical challenges. Disentangling the unprecedented numbers of particles expected in each event will require highly granular silicon pixel detectors with billions of readout channels. Wit
Externí odkaz:
http://arxiv.org/abs/2410.02945
Autor:
De Paolis, Gaia Romana, Lenis, Dimitrios, Novotny, Johannes, Wimmer, Maria, Berg, Astrid, Neubauer, Theresa, Winter, Philip Matthias, Major, David, Muthusami, Ariharasudhan, Schröcker, Gerald, Mienkina, Martin, Bühler, Katja
Efficient and fast reconstruction of anatomical structures plays a crucial role in clinical practice. Minimizing retrieval and processing times not only potentially enhances swift response and decision-making in critical scenarios but also supports i
Externí odkaz:
http://arxiv.org/abs/2409.07100
Conventional battery equivalent circuit models (ECMs) have limited capability to predict performance at high discharge rates, where lithium depleted regions may develop and cause a sudden exponential drop in the cell's terminal voltage. Having accura
Externí odkaz:
http://arxiv.org/abs/2408.07926
Autor:
Vetter, Dennis, Ahsan, Muhammad, Delicado, Diana, Neubauer, Thomas A., Wilke, Thomas, Roig, Gemma
In this paper, we present our first proposal of a machine learning system for the classification of freshwater snails of the genus Radomaniola. We elaborate on the specific challenges encountered during system design, and how we tackled them; namely
Externí odkaz:
http://arxiv.org/abs/2407.20013
Autor:
Neubauer, Lukas, Filzmoser, Peter
Forecast reconciliation has become a prominent topic in recent forecasting literature, with a primary distinction made between cross-sectional and temporal hierarchies. This work focuses on temporal hierarchies, such as aggregating monthly time serie
Externí odkaz:
http://arxiv.org/abs/2407.02367
Silicon-based photonic biosensors, such as microring resonators and Mach-Zehnder interferometers, offer significant potential for the detection of analytes at low concentrations. To enhance response time and improve the limit of detection within prac
Externí odkaz:
http://arxiv.org/abs/2406.19534
Autor:
Parpillon, Benjamin, Syal, Chinar, Yoo, Jieun, Dickinson, Jennet, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Douglas, Valentin, Manuel Blanco, DiPetrillo, Karri, Badea, Anthony, Gray, Lindsey, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Pradhan, Gauri, Tran, Nhan, Wen, Dahai, Fahim, Farah
We present a smart pixel prototype readout integrated circuit (ROIC) designed in CMOS 28 nm bulk process, with in-pixel implementation of an artificial intelligence (AI) / machine learning (ML) based data filtering algorithm designed as proof-of-prin
Externí odkaz:
http://arxiv.org/abs/2406.14860