Zobrazeno 1 - 10
of 8 470
pro vyhledávání: '"A. P. Santhosh"'
Autor:
Matheron, Aimé, Marquès, Jean-Raphaël, Lelasseux, Vincent, Shou, Yinren, Andriyash, Igor A., Phung, Vanessa Ling Jen, Ayoul, Yohann, Beluze, Audrey, Dăncuş, Ioan, Dorchies, Fabien, D'Souza, Flanish, Dumergue, Mathieu, Frotin, Mickaël, Gautier, Julien, Gobert, Fabrice, Gugiu, Marius, Krishnamurthy, Santhosh, Kargapolov, Ivan, Kroupp, Eyal, Lancia, Livia, Lazăr, Alexandru, Leblanc, Adrien, Lo, Mohamed, Mataja, Damien, Mathieu, François, Papadopoulos, Dimitrios, Claveria, Pablo San Miguel, Phuoc, Kim Ta, Talposi, Anda-Maria, Tata, Sheroy, Ur, Călin A., Ursescu, Daniel, Văsescu, Lidia, Doria, Domenico, Malka, Victor, Ghenuche, Petru, Corde, Sebastien
With today's multi-petawatt lasers, testing quantum electrodynamics (QED) in the strong field regime, where the electric field exceeds the Schwinger critical field in the rest frame of an electron, becomes within reach. Inverse Compton scattering of
Externí odkaz:
http://arxiv.org/abs/2412.19337
Deploying radar object detection models on resource-constrained edge devices like the Raspberry Pi poses significant challenges due to the large size of the model and the limited computational power and the memory of the Pi. In this work, we explore
Externí odkaz:
http://arxiv.org/abs/2412.07411
Autor:
Alam, Nahid, Kanjula, Karthik Reddy, Guthikonda, Surya, Chung, Timothy, Vegesna, Bala Krishna S, Das, Abhipsha, Susevski, Anthony, Chan, Ryan Sze-Yin, Uddin, S M Iftekhar, Islam, Shayekh Bin, Santhosh, Roshan, A, Snegha, Sharma, Drishti, Liu, Chen, Chaturvedi, Isha, Winata, Genta Indra, S, Ashvanth., Mukherjee, Snehanshu, Aji, Alham Fikri
The rapid development of large Vision-Language Models (VLMs) has led to impressive results on academic benchmarks, primarily in widely spoken languages. However, significant gaps remain in the ability of current VLMs to handle low-resource languages
Externí odkaz:
http://arxiv.org/abs/2412.07112
Autor:
Goswami, Ashish, Modi, Satyam Kumar, Deshineni, Santhosh Rishi, Singh, Harman, P, Prathosh A., Singla, Parag
Text-to-image (T2I) generation has seen significant progress with diffusion models, enabling generation of photo-realistic images from text prompts. Despite this progress, existing methods still face challenges in following complex text prompts, espe
Externí odkaz:
http://arxiv.org/abs/2412.06089
Autor:
Romanou, Angelika, Foroutan, Negar, Sotnikova, Anna, Chen, Zeming, Nelaturu, Sree Harsha, Singh, Shivalika, Maheshwary, Rishabh, Altomare, Micol, Haggag, Mohamed A., A, Snegha, Amayuelas, Alfonso, Amirudin, Azril Hafizi, Aryabumi, Viraat, Boiko, Danylo, Chang, Michael, Chim, Jenny, Cohen, Gal, Dalmia, Aditya Kumar, Diress, Abraham, Duwal, Sharad, Dzenhaliou, Daniil, Florez, Daniel Fernando Erazo, Farestam, Fabian, Imperial, Joseph Marvin, Islam, Shayekh Bin, Isotalo, Perttu, Jabbarishiviari, Maral, Karlsson, Börje F., Khalilov, Eldar, Klamm, Christopher, Koto, Fajri, Krzemiński, Dominik, de Melo, Gabriel Adriano, Montariol, Syrielle, Nan, Yiyang, Niklaus, Joel, Novikova, Jekaterina, Ceron, Johan Samir Obando, Paul, Debjit, Ploeger, Esther, Purbey, Jebish, Rajwal, Swati, Ravi, Selvan Sunitha, Rydell, Sara, Santhosh, Roshan, Sharma, Drishti, Skenduli, Marjana Prifti, Moakhar, Arshia Soltani, Moakhar, Bardia Soltani, Tamir, Ran, Tarun, Ayush Kumar, Wasi, Azmine Toushik, Weerasinghe, Thenuka Ovin, Yilmaz, Serhan, Zhang, Mike, Schlag, Imanol, Fadaee, Marzieh, Hooker, Sara, Bosselut, Antoine
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal value of generative AI tools in many communities. However, the developmen
Externí odkaz:
http://arxiv.org/abs/2411.19799
Autor:
Ravikumar, Deepak, Yeo, Alex, Zhu, Yiwen, Lakra, Aditya, Nagulapalli, Harsha, Ravindran, Santhosh Kumar, Suh, Steve, Dutta, Niharika, Fogarty, Andrew, Park, Yoonjae, Khushalani, Sumeet, Tarafdar, Arijit, Parekh, Kunal, Krishnan, Subru
Publikováno v:
Proceedings of the VLDB Endowment, Vol. 17, No. 7 ISSN 2150-8097, 2024
The proliferation of big data and analytic workloads has driven the need for cloud compute and cluster-based job processing. With Apache Spark, users can process terabytes of data at ease with hundreds of parallel executors. At Microsoft, we aim at p
Externí odkaz:
http://arxiv.org/abs/2411.11326
Autor:
V, Pandiyaraju, Malarvannan, Santhosh, Venkatraman, Shravan, A, Abeshek, B, Priyadarshini, A, Kannan
Diabetic retinopathy is a leading cause of blindness around the world and demands precise AI-based diagnostic tools. Traditional loss functions in multi-class classification, such as Categorical Cross-Entropy (CCE), are very common but break down wit
Externí odkaz:
http://arxiv.org/abs/2411.10843
Autor:
Nascimento, Nathalia, Guimaraes, Everton, Chintakunta, Sai Sanjna, Boominathan, Santhosh Anitha
The adoption of Large Language Models (LLMs) for code generation in data science offers substantial potential for enhancing tasks such as data manipulation, statistical analysis, and visualization. However, the effectiveness of these models in the da
Externí odkaz:
http://arxiv.org/abs/2411.11908
We provide a rigorous analysis of implicit regularization in an overparametrized tensor factorization problem beyond the lazy training regime. For matrix factorization problems, this phenomenon has been studied in a number of works. A particular chal
Externí odkaz:
http://arxiv.org/abs/2410.16247
Not yet. We present SPACE, a benchmark that systematically evaluates spatial cognition in frontier models. Our benchmark builds on decades of research in cognitive science. It evaluates large-scale mapping abilities that are brought to bear when an o
Externí odkaz:
http://arxiv.org/abs/2410.06468