Zobrazeno 1 - 10
of 86 684
pro vyhledávání: '"P, Ravi"'
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:
Pan, Rui, Wang, Zhuang, Jia, Zhen, Karakus, Can, Zancato, Luca, Dao, Tri, Netravali, Ravi, Wang, Yida
Hybrid models that combine the language modeling capabilities of Attention layers with the efficiency of Recurrent layers (e.g., State Space Models) have gained traction in practically supporting long contexts in Large Language Model serving. Yet, th
Externí odkaz:
http://arxiv.org/abs/2411.19379
Autor:
Basu, Judhajeet, Kumar, Ravi, Anupama, G. C., Barway, Sudhanshu, Hauschildt, Peter H., Chamoli, Shatakshi, Swain, Vishwajeet, Bhalerao, Varun, Karambelkar, Viraj R., Kasliwal, Mansi M., Das, Kaustav K., Andreoni, Igor, Singh, Avinash, Teja, Rishabh S.
We present a detailed analysis of a slow classical nova in M31 exhibiting multiple peaks in its light curve. Spectroscopic and photometric observations were used to investigate the underlying physical processes. Shock-induced heating events resulting
Externí odkaz:
http://arxiv.org/abs/2411.18215
We compute the contribution of the gluonic component of the energy-momentum tensor (EMT) to the angular momentum density in various decompositions. We use the light-front Hamiltonian technique, and a two-component formalism in light-front gauge, wher
Externí odkaz:
http://arxiv.org/abs/2411.18076
Autor:
Wang, Shuangqing, Sutherland, George A., Pidgeon, James P., Swainsbury, David J. K., Martin, Elizabeth C., Vasilev, Cvetelin, Hitchcock, Andrew, Gillard, Daniel J., Venkatraman, Ravi Kumar, Chekulaev, Dimitri, Tartakovskii, Alexander I., Hunter, C. Neil, Clark, Jenny
Singlet fission (SF), the spin-allowed conversion of one singlet exciton into two triplet excitons, offers a promising strategy for enhancing the efficiency of photovoltaic devices. However, realising this potential necessitates materials capable of
Externí odkaz:
http://arxiv.org/abs/2411.18801
Autor:
Tian, Fengwei, Tandon, Ravi
Ensuring privacy during inference stage is crucial to prevent malicious third parties from reconstructing users' private inputs from outputs of public models. Despite a large body of literature on privacy preserving learning (which ensures privacy of
Externí odkaz:
http://arxiv.org/abs/2411.18746
Autor:
Shankar, Ravi
We show removability of half-line singularities for viscosity solutions of fully nonlinear elliptic PDEs which have classical density and a Jacobi inequality. An example of such a PDE is the Monge-Amp\`ere equation, and the original proof follows fro
Externí odkaz:
http://arxiv.org/abs/2411.17133
Geometric reconstruction of opaque surfaces from images is a longstanding challenge in computer vision, with renewed interest from volumetric view synthesis algorithms using radiance fields. We leverage the geometry field proposed in recent work for
Externí odkaz:
http://arxiv.org/abs/2411.17067
Autor:
Zhong, Meiyu, Tandon, Ravi
Adversarial training is one of the predominant techniques for training classifiers that are robust to adversarial attacks. Recent work, however has found that adversarial training, which makes the overall classifier robust, it does not necessarily pr
Externí odkaz:
http://arxiv.org/abs/2411.14424
The paper focuses on studying strong geodetic sets and numbers in the context of corona-type products of graphs. Our primary focus is on three variations of the corona products: the generalized corona, generalized edge corona, and generalized neighbo
Externí odkaz:
http://arxiv.org/abs/2411.13139