Zobrazeno 1 - 10
of 15 046
pro vyhledávání: '"Kalia, A."'
Motivation: A major challenge in metabolomics is annotation: assigning molecular structures to mass spectral fragmentation patterns. Despite recent advances in molecule-to-spectra and in spectra-to-molecular fingerprint prediction (FP), annotation ra
Externí odkaz:
http://arxiv.org/abs/2411.14464
Autor:
Bushuiev, Roman, Bushuiev, Anton, de Jonge, Niek F., Young, Adamo, Kretschmer, Fleming, Samusevich, Raman, Heirman, Janne, Wang, Fei, Zhang, Luke, Dührkop, Kai, Ludwig, Marcus, Haupt, Nils A., Kalia, Apurva, Brungs, Corinna, Schmid, Robin, Greiner, Russell, Wang, Bo, Wishart, David S., Liu, Li-Ping, Rousu, Juho, Bittremieux, Wout, Rost, Hannes, Mak, Tytus D., Hassoun, Soha, Huber, Florian, van der Hooft, Justin J. J., Stravs, Michael A., Böcker, Sebastian, Sivic, Josef, Pluskal, Tomáš
The discovery and identification of molecules in biological and environmental samples is crucial for advancing biomedical and chemical sciences. Tandem mass spectrometry (MS/MS) is the leading technique for high-throughput elucidation of molecular st
Externí odkaz:
http://arxiv.org/abs/2410.23326
Autor:
Gandhi, Yash, Zheng, Kexin, Jha, Birendra, Nomura, Ken-ichi, Nakano, Aiichiro, Vashishta, Priya, Kalia, Rajiv K.
Forecasting oil production from oilfields with multiple wells is an important problem in petroleum and geothermal energy extraction, as well as energy storage technologies. The accuracy of oil forecasts is a critical determinant of economic projectio
Externí odkaz:
http://arxiv.org/abs/2409.16482
Autor:
He, Zecheng, Sun, Bo, Juefei-Xu, Felix, Ma, Haoyu, Ramchandani, Ankit, Cheung, Vincent, Shah, Siddharth, Kalia, Anmol, Subramanyam, Harihar, Zareian, Alireza, Chen, Li, Jain, Ankit, Zhang, Ning, Zhang, Peizhao, Sumbaly, Roshan, Vajda, Peter, Sinha, Animesh
Diffusion models have demonstrated remarkable efficacy across various image-to-image tasks. In this research, we introduce Imagine yourself, a state-of-the-art model designed for personalized image generation. Unlike conventional tuning-based persona
Externí odkaz:
http://arxiv.org/abs/2409.13346
Complex time-varying networks are prominent models for a wide variety of spatiotemporal phenomena. The functioning of networks depends crucially on their connectivity, yet reliable techniques for determining communities in spacetime networks remain e
Externí odkaz:
http://arxiv.org/abs/2409.11984
The increasing adoption of neural networks in learning-augmented systems highlights the importance of model safety and robustness, particularly in safety-critical domains. Despite progress in the formal verification of neural networks, current practi
Externí odkaz:
http://arxiv.org/abs/2409.10897
Ultralight dark matter, such as kinetically mixed dark-photon dark matter (DPDM) or axionlike-particle dark matter (axion DM), can source an oscillating magnetic-field signal at Earth's surface. Previous work searched for this signal in a publicly av
Externí odkaz:
http://arxiv.org/abs/2408.16045
Autor:
Kalia, Saarik, Budker, Dmitry, Kimball, Derek F. Jackson, Ji, Wei, Liu, Zhen, Sushkov, Alexander O., Timberlake, Chris, Ulbricht, Hendrik, Vinante, Andrea, Wang, Tao
Levitated ferromagnets act as ultraprecise magnetometers, which can exhibit high quality factors due to their excellent isolation from the environment. These instruments can be utilized in searches for ultralight dark matter candidates, such as axion
Externí odkaz:
http://arxiv.org/abs/2408.15330
The 7-point checklist (7PCL) is widely used in dermoscopy to identify malignant melanoma lesions needing urgent medical attention. It assigns point values to seven attributes: major attributes are worth two points each, and minor ones are worth one p
Externí odkaz:
http://arxiv.org/abs/2407.16822
Autor:
Kalia, Vansh Murad
Packing peanuts, as defined by Wikipedia, is a common loose-fill packaging and cushioning material that helps prevent damage to fragile items. In this paper, I propose that synthetic data, akin to packing peanuts, can serve as a valuable asset for ec
Externí odkaz:
http://arxiv.org/abs/2405.07431