Zobrazeno 1 - 10
of 124 318
pro vyhledávání: '"Subramanian A."'
Autor:
Florinski, Vladimir, Balsara, Dinshaw S., Bhoriya, Deepak, Zank, Gary P., Biswas, Shishir, Sharma, Swati, Subramanian, Sethupathy
We present a pioneering model of the interaction between the solar wind and the surrounding interstellar medium that includes the possibility of different pressures in the directions parallel and perpendicular to the magnetic field. The outer heliosh
Externí odkaz:
http://arxiv.org/abs/2410.22589
Autor:
Williams, Andrew Robert, Ashok, Arjun, Marcotte, Étienne, Zantedeschi, Valentina, Subramanian, Jithendaraa, Riachi, Roland, Requeima, James, Lacoste, Alexandre, Rish, Irina, Chapados, Nicolas, Drouin, Alexandre
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks crucial context necessary for accurate predictions. Human forecasters frequently rely on additional information, such
Externí odkaz:
http://arxiv.org/abs/2410.18959
Autor:
Kagaya, Tomoyuki, Lou, Yuxuan, Yuan, Thong Jing, Lakshmi, Subramanian, Karlekar, Jayashree, Pranata, Sugiri, Murakami, Natsuki, Kinose, Akira, Oguri, Koki, Wick, Felix, You, Yang
In recent years, Large Language Models (LLMs) have demonstrated high reasoning capabilities, drawing attention for their applications as agents in various decision-making processes. One notably promising application of LLM agents is robotic manipulat
Externí odkaz:
http://arxiv.org/abs/2410.16919
Given coarser-resolution projections from global climate models or satellite data, the downscaling problem aims to estimate finer-resolution regional climate data, capturing fine-scale spatial patterns and variability. Downscaling is any method to de
Externí odkaz:
http://arxiv.org/abs/2410.15628
Autor:
Bukas, Christina, Subramanian, Harshavardhan, See, Fenja, Steinchen, Carina, Ezhov, Ivan, Boosarpu, Gowtham, Asgharpour, Sara, Burgstaller, Gerald, Lehmann, Mareike, Kofler, Florian, Piraud, Marie
High-throughput image analysis in the biomedical domain has gained significant attention in recent years, driving advancements in drug discovery, disease prediction, and personalized medicine. Organoids, specifically, are an active area of research,
Externí odkaz:
http://arxiv.org/abs/2410.14612
Autor:
Rubavicius, Rimvydas, Miceli-Barone, Antonio Valerio, Lascarides, Alex, Ramamoorthy, Subramanian
Cyber-physical systems like autonomous vehicles are tested in simulation before deployment, using domain-specific programs for scenario specification. To aid the testing of autonomous vehicles in simulation, we design a natural language interface, us
Externí odkaz:
http://arxiv.org/abs/2410.09829
Autor:
Lee, Hojoon, Hwang, Dongyoon, Kim, Donghu, Kim, Hyunseung, Tai, Jun Jet, Subramanian, Kaushik, Wurman, Peter R., Choo, Jaegul, Stone, Peter, Seno, Takuma
Recent advances in CV and NLP have been largely driven by scaling up the number of network parameters, despite traditional theories suggesting that larger networks are prone to overfitting. These large networks avoid overfitting by integrating compon
Externí odkaz:
http://arxiv.org/abs/2410.09754
Autor:
Subramanian, Akshay, Damewood, James, Nam, Juno, Greenman, Kevin P., Singhal, Avni P., Gómez-Bombarelli, Rafael
Organic optoelectronic materials are a promising avenue for next-generation electronic devices due to their solution processability, mechanical flexibility, and tunable electronic properties. In particular, near-infrared (NIR) sensitive molecules hav
Externí odkaz:
http://arxiv.org/abs/2410.08833
Autor:
Subramanian, Akshay, Qu, Shuhui, Park, Cheol Woo, Liu, Sulin, Lee, Janghwan, Gómez-Bombarelli, Rafael
Amorphous molecular solids offer a promising alternative to inorganic semiconductors, owing to their mechanical flexibility and solution processability. The packing structure of these materials plays a crucial role in determining their electronic and
Externí odkaz:
http://arxiv.org/abs/2410.07539
Autor:
Agrawal, Pravesh, Antoniak, Szymon, Hanna, Emma Bou, Bout, Baptiste, Chaplot, Devendra, Chudnovsky, Jessica, Costa, Diogo, De Monicault, Baudouin, Garg, Saurabh, Gervet, Theophile, Ghosh, Soham, Héliou, Amélie, Jacob, Paul, Jiang, Albert Q., Khandelwal, Kartik, Lacroix, Timothée, Lample, Guillaume, Casas, Diego Las, Lavril, Thibaut, Scao, Teven Le, Lo, Andy, Marshall, William, Martin, Louis, Mensch, Arthur, Muddireddy, Pavankumar, Nemychnikova, Valera, Pellat, Marie, Von Platen, Patrick, Raghuraman, Nikhil, Rozière, Baptiste, Sablayrolles, Alexandre, Saulnier, Lucile, Sauvestre, Romain, Shang, Wendy, Soletskyi, Roman, Stewart, Lawrence, Stock, Pierre, Studnia, Joachim, Subramanian, Sandeep, Vaze, Sagar, Wang, Thomas, Yang, Sophia
We introduce Pixtral-12B, a 12--billion-parameter multimodal language model. Pixtral-12B is trained to understand both natural images and documents, achieving leading performance on various multimodal benchmarks, surpassing a number of larger models.
Externí odkaz:
http://arxiv.org/abs/2410.07073