Zobrazeno 1 - 10
of 1 087
pro vyhledávání: '"Bilinski, P"'
Autor:
Dastidar, R., Misra, K., Valenti, S., Sand, D. J., Pastorello, A., Reguitti, A., Pignata, G., Benetti, S., Bose, S., Gangopadhyay, A., Singh, M., Tomasella, L., Andrews, J. E., Arcavi, I., Ashall, C., Bilinski, C., Bostroem, K. A., Buckley, D. A. H., Cannizzaro, G., Chomiuk, L., Congiu, E., Dong, S., Dong, Y., Elias-Rosa, N., Fraser, M., Gall, C., Gromadzki, M., Hiramatsu, D., Hosseinzadeh, G., Howell, D. A., Hsiao, E. Y., McCully, C., Smith, N., Strader, J.
We present a comprehensive photometric and spectroscopic study of the Type IIP SN 2018is. The $V$-band luminosity and the expansion velocity at 50 days post-explosion are $-$15.1$\pm$0.2 mag (corrected for A$_V$=1.34 mag) and 1400 km s$^{-1}$, classi
Externí odkaz:
http://arxiv.org/abs/2501.01530
Autor:
Shrestha, Manisha, DeSoto, Sabrina, Sand, David J., Williams, G. Grant, Hoffman, Jennifer L., Smith, Nathan, Smith, Paul S., Milne, Peter, McCall, Callum, Maund, Justyn R., Steele, Iain A, Wiersema, Klaas, Andrews, Jennifer E., Bilinski, Christopher, Anche, Ramya M., Bostroem, K. Azalee, Hosseinzadeh, Griffin, Pearson, Jeniveve, Leonard, Douglas C., Hsu, Brian, Dong, Yize, Hoang, Emily, Janzen, Daryl, Jencson, Jacob E., Jha, Saurabh W., Lundquist, M. J., Mehta, Darshana, Retamal, Nicolas Meza, Valenti, Stefano, Farah, Joseph, Howell, D. Andrew, McCully, Curtis, Newsome, Megan, Gonzalez, Estefania Padilla, Pellegrino, Craig, Terreran, Giacomo
We present multi-epoch optical spectropolarimetric and imaging polarimetric observations of the nearby Type II supernova (SN) 2023ixf discovered in M101 at a distance of 6.85 Mpc. The first imaging polarimetric observations were taken +2.33 days (600
Externí odkaz:
http://arxiv.org/abs/2410.08199
Difference-in-differences (DiD) is the most popular observational causal inference method in health policy, employed to evaluate the real-world impact of policies and programs. To estimate treatment effects, DiD relies on the "parallel trends assumpt
Externí odkaz:
http://arxiv.org/abs/2408.04617
Monitoring energy behaviors in AI data centers is crucial, both to reduce their energy consumption and to raise awareness among their users which are key actors in the AI field. This paper shows a proof of concept of easy and lightweight monitoring o
Externí odkaz:
http://arxiv.org/abs/2407.15670
This paper investigates the feasibility and effectiveness of employing Generative Adversarial Networks (GANs) for the generation of decoy configurations in the field of cyber defense. The utilization of honeypots has been extensively studied in the p
Externí odkaz:
http://arxiv.org/abs/2407.07292
Neural Architecture Search (NAS) has been widely adopted to design neural networks for various computer vision tasks. One of its most promising subdomains is differentiable NAS (DNAS), where the optimal architecture is found in a differentiable manne
Externí odkaz:
http://arxiv.org/abs/2405.16610
Autor:
Martín-Cortinas, Álvaro, Sáez-Trigueros, Daniel, Vallés-Pérez, Iván, Tura-Vecino, Biel, Biliński, Piotr, Lajszczak, Mateusz, Beringer, Grzegorz, Barra-Chicote, Roberto, Lorenzo-Trueba, Jaime
Large Language Models (LLMs) are one of the most promising technologies for the next era of speech generation systems, due to their scalability and in-context learning capabilities. Nevertheless, they suffer from multiple stability issues at inferenc
Externí odkaz:
http://arxiv.org/abs/2402.03407
Recently normalizing flows have been gaining traction in text-to-speech (TTS) and voice conversion (VC) due to their state-of-the-art (SOTA) performance. Normalizing flows are unsupervised generative models. In this paper, we introduce supervision to
Externí odkaz:
http://arxiv.org/abs/2312.16552
Autor:
Bilinski, Piotr, Merritt, Thomas, Ezzerg, Abdelhamid, Pokora, Kamil, Cygert, Sebastian, Yanagisawa, Kayoko, Barra-Chicote, Roberto, Korzekwa, Daniel
Publikováno v:
Interspeech 2022, 2958-2962
Creating realistic and natural-sounding synthetic speech remains a big challenge for voice identities unseen during training. As there is growing interest in synthesizing voices of new speakers, here we investigate the ability of normalizing flows in
Externí odkaz:
http://arxiv.org/abs/2312.14569
The 2nd International Workshop on Adaptive Cyber Defense was held at the Florida Institute of Technology, Florida. This workshop was organized to share research that explores unique applications of Artificial Intelligence (AI) and Machine Learning (M
Externí odkaz:
http://arxiv.org/abs/2308.09520