Zobrazeno 1 - 10
of 11 646
pro vyhledávání: '"Savarese"'
Autor:
Zhang, Jianguo, Lan, Tian, Zhu, Ming, Liu, Zuxin, Hoang, Thai, Kokane, Shirley, Yao, Weiran, Tan, Juntao, Prabhakar, Akshara, Chen, Haolin, Liu, Zhiwei, Feng, Yihao, Awalgaonkar, Tulika, Murthy, Rithesh, Hu, Eric, Chen, Zeyuan, Xu, Ran, Niebles, Juan Carlos, Heinecke, Shelby, Wang, Huan, Savarese, Silvio, Xiong, Caiming
Autonomous agents powered by large language models (LLMs) have attracted significant research interest. However, the open-source community faces many challenges in developing specialized models for agent tasks, driven by the scarcity of high-quality
Externí odkaz:
http://arxiv.org/abs/2409.03215
Autor:
Collaboration, DarkSide-20k, Acerbi, F., Adhikari, P., Agnes, P., Ahmad, I., Albergo, S., Albuquerque, I. F. M., Alexander, T., Alton, A. K., Amaudruz, P., Angiolilli, M., Aprile, E., Ardito, R., Corona, M. Atzori, Auty, D. J., Ave, M., Avetisov, I. C., Azzolini, O., Back, H. O., Balmforth, Z., Olmedo, A. Barrado, Barrillon, P., Batignani, G., Bhowmick, P., Blua, S., Bocci, V., Bonivento, W., Bottino, B., Boulay, M. G., Buchowicz, A., Bussino, S., Busto, J., Cadeddu, M., Cadoni, M., Calabrese, R., Camillo, V., Caminata, A., Canci, N., Capra, A., Caravati, M., Cárdenas-Montes, M., Cargioli, N., Carlini, M., Castellani, A., Castello, P., Cavalcante, P., Cebrian, S., Ruiz, J. Cela, Chashin, S., Chepurnov, A., Cifarelli, L., Cintas, D., Citterio, M., Cleveland, B., Coadou, Y., Cocco, V., Colaiuda, D., Vilda, E. Conde, Consiglio, L., Costa, B. S., Czubak, M., D'Aniello, M., D'Auria, S., Rolo, M. D. Da Rocha, Darbo, G., Davini, S., De Cecco, S., De Guido, G., Dellacasa, G., Derbin, A. V., Devoto, A., Di Capua, F., Di Ludovico, A., Di Noto, L., Di Stefano, P., Dias, L. K., Mairena, D. Díaz, Ding, X., Dionisi, C., Dolganov, G., Dordei, F., Dronik, V., Elersich, A., Ellingwood, E., Erjavec, T., Diaz, M. Fernandez, Ficorella, A., Fiorillo, G., Franchini, P., Franco, D., Gatti, H. Frandini, Frolov, E., Gabriele, F., Gahan, D., Galbiati, C., Galiński, G., Gallina, G., Gallus, G., Garbini, M., Abia, P. Garcia, Gawdzik, A., Gendotti, A., Ghisi, A., Giovanetti, G. K., Casanueva, V. Goicoechea, Gola, A., Grandi, L., Grauso, G., di Cortona, G. Grilli, Grobov, A., Gromov, M., Guerzoni, M., Gulino, M., Guo, C., Hackett, B. R., Hallin, A., Hamer, A., Haranczyk, M., Harrop, B., Hessel, T., Hill, S., Horikawa, S., Hu, J., Hubaut, F., Hucker, J., Hugues, T., Hungerford, E. V., Ianni, A., Ippolito, V., Jamil, A., Jillings, C., Jois, S., Kachru, P., Keloth, R., Kemmerich, N., Kemp, A., Kendziora, C. L., Kimura, M., Kish, A., Kondo, K., Korga, G., Kotsiopoulou, L., Koulosousas, S., Kubankin, A., Kunzé, P., Kuss, M., Kuźniak, M., Kuzwa, M., La Commara, M., Lai, M., Guirriec, E. Le, Leason, E., Leoni, A., Lidey, L., Lissia, M., Luzzi, L., Lychagina, O., Macfadyen, O., Machulin, I. N., Manecki, S., Manthos, I., Mapelli, L., Marasciulli, A., Mari, S. M., Mariani, C., Maricic, J., Martinez, M., Martoff, C. J., Matteucci, G., Mavrokoridis, K., McDonald, A. B., Mclaughlin, J., Merzi, S., Messina, A., Milincic, R., Minutoli, S., Mitra, A., Moharana, A., Moioli, S., Monroe, J., Moretti, E., Morrocchi, M., Mroz, T., Muratova, V. N., Murphy, M., Murra, M., Muscas, C., Musico, P., Nania, R., Nessi, M., Nieradka, G., Nikolopoulos, K., Nikoloudaki, E., Nowak, J., Olchanski, K., Oleinik, A., Oleynikov, V., Organtini, P., de Solórzano, A. Ortiz, Pallavicini, M., Pandola, L., Pantic, E., Paoloni, E., Papi, D., Pastuszak, G., Paternoster, G., Peck, A., Pegoraro, P. A., Pelczar, K., Pellegrini, L. A., Perez, R., Perotti, F., Pesudo, V., Piacentini, S. I., Pino, N., Plante, G., Pocar, A., Poehlmann, M., Pordes, S., Pralavorio, P., Price, D., Puglia, S., Bazetto, M. Queiroga, Ragusa, F., Ramachers, Y., Ramirez, A., Ravinthiran, S., Razeti, M., Renshaw, A. L., Rescigno, M., Retiere, F., Rignanese, L. P., Rivetti, A., Roberts, A., Roberts, C., Rogers, G., Romero, L., Rossi, M., Rubbia, A., Rudik, D., Sabia, M., Salomone, P., Samoylov, O., Sandford, E., Sanfilippo, S., Santone, D., Santorelli, R., Santos, E. M., Savarese, C., Scapparone, E., Schillaci, G., Schuckman II, F. G., Scioli, G., Semenov, D. A., Shalamova, V., Sheshukov, A., Simeone, M., Skensved, P., Skorokhvatov, M. D., Smirnov, O., Smirnova, T., Smith, B., Sotnikov, A., Spadoni, F., Spangenberg, M., Stefanizzi, R., Steri, A., Stornelli, V., Stracka, S., Sulis, S., Sung, A., Sunny, C., Suvorov, Y., Szelc, A. M., Taborda, O., Tartaglia, R., Taylor, A., Taylor, J., Tedesco, S., Testera, G., Thieme, K., Thompson, A., Thorpe, T. N., Tonazzo, A., Torres-Lara, S., Tricomi, A., Unzhakov, E. V., Vallivilayil, T. J., Van Uffelen, M., Velazquez-Fernandez, L., Viant, T., Viel, S., Vishneva, A., Vogelaar, R. B., Vossebeld, J., Vyas, B., Wada, M., Walczak, M. B., Wang, H., Wang, Y., Westerdale, S., Williams, L., Wojaczyński, R., Wojcik, M., Wojcik, M. M., Wright, T., Xiao, X., Xie, Y., Yang, C., Yin, J., Zabihi, A., Zakhary, P., Zani, A., Zhang, Y., Zhu, T., Zichichi, A., Zuzel, G., Zykova, M. P.
DarkSide-20k (DS-20k) is a dark matter detection experiment under construction at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy. It utilises ~100 t of low radioactivity argon from an underground source (UAr) in its inner detector, with half
Externí odkaz:
http://arxiv.org/abs/2408.14071
Autor:
Qin, Can, Xia, Congying, Ramakrishnan, Krithika, Ryoo, Michael, Tu, Lifu, Feng, Yihao, Shu, Manli, Zhou, Honglu, Awadalla, Anas, Wang, Jun, Purushwalkam, Senthil, Xue, Le, Zhou, Yingbo, Wang, Huan, Savarese, Silvio, Niebles, Juan Carlos, Chen, Zeyuan, Xu, Ran, Xiong, Caiming
We present xGen-VideoSyn-1, a text-to-video (T2V) generation model capable of producing realistic scenes from textual descriptions. Building on recent advancements, such as OpenAI's Sora, we explore the latent diffusion model (LDM) architecture and i
Externí odkaz:
http://arxiv.org/abs/2408.12590
Autor:
Yunis, David, Patel, Kumar Kshitij, Wheeler, Samuel, Savarese, Pedro, Vardi, Gal, Livescu, Karen, Maire, Michael, Walter, Matthew R.
We propose an empirical approach centered on the spectral dynamics of weights -- the behavior of singular values and vectors during optimization -- to unify and clarify several phenomena in deep learning. We identify a consistent bias in optimization
Externí odkaz:
http://arxiv.org/abs/2408.11804
Autor:
Xue, Le, Shu, Manli, Awadalla, Anas, Wang, Jun, Yan, An, Purushwalkam, Senthil, Zhou, Honglu, Prabhu, Viraj, Dai, Yutong, Ryoo, Michael S, Kendre, Shrikant, Zhang, Jieyu, Qin, Can, Zhang, Shu, Chen, Chia-Chih, Yu, Ning, Tan, Juntao, Awalgaonkar, Tulika Manoj, Heinecke, Shelby, Wang, Huan, Choi, Yejin, Schmidt, Ludwig, Chen, Zeyuan, Savarese, Silvio, Niebles, Juan Carlos, Xiong, Caiming, Xu, Ran
This report introduces xGen-MM (also known as BLIP-3), a framework for developing Large Multimodal Models (LMMs). The framework comprises meticulously curated datasets, a training recipe, model architectures, and a resulting suite of LMMs. xGen-MM, s
Externí odkaz:
http://arxiv.org/abs/2408.08872
Autor:
Zhang, Kexun, Yao, Weiran, Liu, Zuxin, Feng, Yihao, Liu, Zhiwei, Murthy, Rithesh, Lan, Tian, Li, Lei, Lou, Renze, Xu, Jiacheng, Pang, Bo, Zhou, Yingbo, Heinecke, Shelby, Savarese, Silvio, Wang, Huan, Xiong, Caiming
Large language model (LLM) agents have shown great potential in solving real-world software engineering (SWE) problems. The most advanced open-source SWE agent can resolve over 27% of real GitHub issues in SWE-Bench Lite. However, these sophisticated
Externí odkaz:
http://arxiv.org/abs/2408.07060
We introduce WarpSci, a domain agnostic framework designed to overcome crucial system bottlenecks encountered in the application of reinforcement learning to intricate environments with vast datasets featuring high-dimensional observation or action s
Externí odkaz:
http://arxiv.org/abs/2408.00930
Autor:
Araiza-Duran, J. A., Pignata, G., Brucalassi, A., Aliverti, M., Battaini, F., Radhakrishnan, K., Di Filippo, S., Lessio, L., Claudi, R., Ricci, D., Colapietro, M., Cosentino, R., D'Orsi, S., Munari, M., Dima, M., Schipani, P., Campana, S., Baruffolo, A., Sanchez, R. Zanmar, Riva, M., Genoni, M., Ben-Ami, S., Rubin, A., Bruch, R., Capasso, G., D'Alessio, F., D'Avanzo, P., Hershko, O., Kuncarayakti, H., Landoni, M., Scuderi, S., Vitali, F., Young, D., Achren, J., Arcavi, I., Cappellaro, E., Della Valle, M., Di Benedetto, R., Gal-Yam, A., Diaz, M. Hernandez, Kotilainen, J., Causi, G. Li, Marty, L., Mattila, S., Rappaport, M., Salasnich, B., Smartt, S., Stritzinger, M., Ventura, H. Perez, Asquini, L., Bichkovsky, A., Savarese, S., Cabona, L.
SOXS (Son Of X-Shooter) will be the new medium-resolution (R 4500 for 1 slit), high-efficiency, wide-band spectrograph for the ESO NTT at La Silla Observatory, Chile. It will be dedicated to the follow-up of any kind of transient events, ensuring fas
Externí odkaz:
http://arxiv.org/abs/2407.17382
Autor:
Colapietro, Mirko, D'Orsi, Sergio, Capasso, Giulio, Savarese, Salvatore, Schipani, Pietro, Marty, Laurent, Sanchez, Ricardo Zanmar, Aliverti, Matteo, Battaini, Federico, Di Filippo, Simone, Santhakumari, Kalyan Kumar Radhakrishnan, Ricci, Davide, Salasnich, Bernardo, Campana, Sergio, Claudi, Riccardo, Araiza-Duran, Jose, Baruffolo, Andrea, Ami, Sagi Ben, Bichkovsky, Alex, Brucalassi, Anna, Cosentino, Rosario, D'Alessio, Francesco, D'Avanzo, Paolo, Di Benedetto, Rosario, Genoni, Matteo, Hershko, Ofir, Kuncarayakti, Hanindyo, Lessio, Luigi, Martinetti, Eugenio, Micciche, Antonio, Nicotra, Gaetano, Pignata, Giuliano, Rubin, Adam, Scuderi, Salvatore, Vitali, Fabrizio, Achren, Jani, Arcavi, Iair, Asquini, Laura, Bruch, Rachel, Cappellaro, Enrico, Della Valle, Massimo, Gal-Yam, Avishay, Diaz, Marcos Hernandez, Kotilainen, Jari, Landoni, Marco, Causi, Gianluca Li, Mattila, Seppo, Munari, Matteo, Ventura, Hector Perez, Rappaport, Michael, Riva, Marco, Smartt, Steven, Stritzinger, Maximilian, Young, David
SOXS (Son Of X-Shooter) is the new single object spectrograph for the ESO New Technology Telescope (NTT) at the La Silla Observatory, able to cover simultaneously both the UV-VIS and NIR bands (350-2000 nm). The instrument is currently in the integra
Externí odkaz:
http://arxiv.org/abs/2407.17302
Autor:
Santhakumari, Kalyan Kumar Radhakrishnan, Battaini, Federico, Di Filippo, Simone, Di Rosa, Silvio, Cabona, Lorenzo, Claudi, Riccardo, Lessio, Luigi, Dima, Marco, Young, David, Landoni, Marco, Colapietro, Mirko, D'Orsi, Sergio, Aliverti, Matteo, Genoni, Matteo, Munari, Matteo, Sanchez, Ricardo Zanmar, Vitali, Fabrizio, Ricci, Davide, Schipani, Pietro, Campana, Sergio, Achren, Jani, Araiza-Duran, Jose, Arcavi, Iair, Baruffolo, Andrea, Ben-Ami, Sagi, Bitchkovsky, Alex, Brucalassi, Anna, Bruch, Rachel, Capasso, Giulio, Cappellaro, Enrico, Cosentino, Rosario, D'Alessio, Francesco, D'Avanzo, Paolo, Della Valle, Massimo, Di Benedetto, Rosario, Gal-Yam, Avishay, Diaz, Marcos Hernandez, Hershko, Ofir, Kotilainen, Jari, Kuncarayakti, Hanindyo, Causi, Gianluca Li, Marafatto, Luca, Martinetti, Eugenio, Marty, Laurent, Mattila, Seppo, Micciche, Antonio, Nicotra, Gaetano, Oggioni, Luca, Ventura, Hector Perez, Pariani, Giorgio, Pignata, Giuliano, Rappaport, Michael, Riva, Marco, Rubin, Adam, Salasnich, Bernardo, Savarese, Salvatore, Scuderi, Salvatore, Smartt, Steven, Stritzinger, Maximilian
The Son Of X-Shooter (SOXS) will be the specialized facility to observe any transient event with a flexible scheduler at the ESO New Technology Telescope (NTT) at La Silla, Chile. SOXS is a single object spectrograph offering simultaneous spectral co
Externí odkaz:
http://arxiv.org/abs/2407.17288