Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Durgesh, Rupesh"'
Autor:
Malz, Alex I., Dai, Mi, Ponder, Kara A., Ishida, Emille E. O., Gonzalez-Gaitain, Santiago, Durgesh, Rupesh, Krone-Martins, Alberto, de Souza, Rafael S., Kennamer, Noble, Sreejith, Sreevarsha, Galbany, Lluis, Collaboration, The LSST Dark Energy Science, Initiative, The Cosmostatistics
Context: When selecting a classifier to use for a supernova Ia (SN Ia) cosmological analysis, it is common to make decisions based on metrics of classification performance, i.e. contamination within the photometrically classified SN Ia sample, rather
Externí odkaz:
http://arxiv.org/abs/2305.14421
Autor:
Xu, Quanfeng, Shen, Shiyin, de Souza, Rafael S., Chen, Mi, Ye, Renhao, She, Yumei, Chen, Zhu, Ishida, Emille E. O., Krone-Martins, Alberto, Durgesh, Rupesh
We present a novel approach for the dimensionality reduction of galaxy images by leveraging a combination of variational auto-encoders (VAE) and domain adaptation (DA). We demonstrate the effectiveness of this approach using a sample of low redshift
Externí odkaz:
http://arxiv.org/abs/2303.08627
Autor:
Geyer, Jakob, Kassahun, Yohannes, Mahmudi, Mentar, Ricou, Xavier, Durgesh, Rupesh, Chung, Andrew S., Hauswald, Lorenz, Pham, Viet Hoang, Mühlegg, Maximilian, Dorn, Sebastian, Fernandez, Tiffany, Jänicke, Martin, Mirashi, Sudesh, Savani, Chiragkumar, Sturm, Martin, Vorobiov, Oleksandr, Oelker, Martin, Garreis, Sebastian, Schuberth, Peter
Research in machine learning, mobile robotics, and autonomous driving is accelerated by the availability of high quality annotated data. To this end, we release the Audi Autonomous Driving Dataset (A2D2). Our dataset consists of simultaneously record
Externí odkaz:
http://arxiv.org/abs/2004.06320