Zobrazeno 1 - 10
of 748
pro vyhledávání: '"P Vasisht"'
Centralized learning requires data to be aggregated at a central server, which poses significant challenges in terms of data privacy and bandwidth consumption. Federated learning presents a compelling alternative, however, vanilla federated learning
Externí odkaz:
http://arxiv.org/abs/2411.04112
Autor:
Greklek-McKeon, Michael, Vissapragada, Shreyas, Knutson, Heather A., Fukui, Akihiko, Saidel, Morgan, Barrientos, Jonathan Gomez, Levine, W. Garrett, Behmard, Aida, Batygin, Konstantin, Chachan, Yayaati, Vasisht, Gautam, Hu, Renyu, Cloutier, Ryan, Latham, David, López-Morales, Mercedes, Vanderburg, Andrew, Heffner, Carolyn, Nied, Paul, Milburn, Jennifer, Wilson, Isaac, Roderick, Diana, Koviak, Kathleen, Barlow, Tom, Stone, John F., Kiman, Rocio, Korth, Judith, de Leon, Jerome P., Fukuda, Izuru, Hayashi, Yuya, Ikoma, Masahiro, Ikuta, Kai, Isogai, Keisuke, Kawai, Yugo, Kawauchi, Kiyoe, Kusakabe, Nobuhiko, Livingston, John H., Mori, Mayuko, Narita, Norio, Tamura, Motohide, Watanabe, Noriharu, Fernández-Rodríguez, Gareb
TOI-1266 is a benchmark system of two temperate ($<$ 450 K) sub-Neptune-sized planets orbiting a nearby M dwarf exhibiting a rare inverted architecture with a larger interior planet. In this study, we characterize transit timing variations (TTVs) in
Externí odkaz:
http://arxiv.org/abs/2409.16374
Large language models (LLMs), while memorizing parts of their training data scraped from the Internet, may also inadvertently encode societal preferences and norms. As these models are integrated into sociotechnical systems, it is crucial that the no
Externí odkaz:
http://arxiv.org/abs/2409.03735
Autor:
Vincent, Olivia, Sreekumari, Aparna, Gopalakrishnan, Manoj, Vasisht, Vishwas V, Sarangi, Bibhu Ranjan
We investigate the positional behavior of a single bacterium confined within a vesicle by measuring the probability of locating the bacterium at a certain distance from the vesicle boundary. We observe that the distribution is bi-exponential in natur
Externí odkaz:
http://arxiv.org/abs/2409.03578
Autor:
Monnier, John D., Jain, Prachet, Kalluri, Shashank, Cutler, James, D'Amico, Simone, Lightsey, Glenn, Pogorelyuk, Leonid, Vasisht, Gautam, Cahoy, Kerri, Meyer, Michael
We present the concept for STARI: STarlight Acquisition and Reflection toward Interferometry. If launched, STARI will be the first mission to control a 3-D CubeSat formation to the few mm-level, reflect starlight over 10s to 100s of meters from one s
Externí odkaz:
http://arxiv.org/abs/2408.03925
Autor:
Hon, Marc, Huber, Daniel, Li, Yaguang, Metcalfe, Travis S., Bedding, Timothy R., Ong, Joel, Chontos, Ashley, Rubenzahl, Ryan, Halverson, Samuel, García, Rafael A., Kjeldsen, Hans, Stello, Dennis, Hey, Daniel R., Campante, Tiago, Howard, Andrew W., Gibson, Steven R., Rider, Kodi, Roy, Arpita, Baker, Ashley D., Edelstein, Jerry, Smith, Chris, Fulton, Benjamin J., Walawender, Josh, Brodheim, Max, Brown, Matt, Chan, Dwight, Dai, Fei, Deich, William, Gottschalk, Colby, Grillo, Jason, Hale, Dave, Hill, Grant M., Holden, Bradford, Householder, Aaron, Isaacson, Howard, Ishikawa, Yuzo, Jelinsky, Sharon R., Kassis, Marc, Kaye, Stephen, Laher, Russ, Lanclos, Kyle, Lee, Chien-Hsiu, Lilley, Scott, McCarney, Ben, Miller, Timothy N., Payne, Joel, Petigura, Erik A., Poppett, Claire, Raffanti, Michael, Rockosi, Constance, Sanford, Dale, Schwab, Christian, Shaum, Abby P., Sirk, Martin M., Smith, Roger, Thorne, Jim, Valliant, John, Vandenberg, Adam, Wang, Shin Ywan, Wishnow, Edward, Wold, Truman, Yeh, Sherry, Baker, Ashley, Basu, Sarbani, Bedell, Megan, Cegla, Heather M., Crossfield, Ian, Dressing, Courtney, Dumusque, Xavier, Knutson, Heather, Mawet, Dimitri, O'Meara, John, Stefánsson, Guðmundur, Teske, Johanna, Vasisht, Gautam, Wang, Sharon Xuesong, Weiss, Lauren M., Winn, Joshua N., Wright, Jason T.
Asteroseismology of dwarf stars cooler than the Sun is very challenging due to the low amplitudes and rapid timescales of oscillations. Here, we present the asteroseismic detection of solar-like oscillations at 4-minute timescales ($\nu_{\mathrm{max}
Externí odkaz:
http://arxiv.org/abs/2407.21234
Regulations increasingly call for various assurances from machine learning (ML) model providers about their training data, training process, and the behavior of resulting models during inference. For better transparency, companies (e.g., Huggingface
Externí odkaz:
http://arxiv.org/abs/2406.17548
Autor:
Shenoy, Jayanth, Zhang, Xingjian Davis, Mehrotra, Shlok, Tao, Bill, Yang, Rem, Zhao, Han, Vasisht, Deepak
Satellite image time series (SITS) segmentation is crucial for many applications like environmental monitoring, land cover mapping and agricultural crop type classification. However, training models for SITS segmentation remains a challenging task du
Externí odkaz:
http://arxiv.org/abs/2405.01656
Diffusion based text-to-image models are trained on large datasets scraped from the Internet, potentially containing unacceptable concepts (e.g., copyright infringing or unsafe). We need concept removal techniques (CRTs) which are effective in preven
Externí odkaz:
http://arxiv.org/abs/2404.19227
Knowledge infusion is a promising method for enhancing Large Language Models for domain-specific NLP tasks rather than pre-training models over large data from scratch. These augmented LLMs typically depend on additional pre-training or knowledge pro
Externí odkaz:
http://arxiv.org/abs/2403.01481