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pro vyhledávání: '"Ilie AT"'
Recent work on dictionary learning with set-atoms has shown benefits in anomaly detection. Instead of viewing an atom as a single vector, these methods allow building sparse representations with atoms taken from a set around a central vector; the set
Externí odkaz:
http://arxiv.org/abs/2409.06831
Autor:
Paesani, Massimiliano, Ilie, Ioana M.
In simulations, particles are traditionally treated as rigid platforms with variable sizes, shapes and interaction parameters. While this representation is applicable for rigid core platforms, particles consisting of soft platforms (e.g. micelles, po
Externí odkaz:
http://arxiv.org/abs/2408.02564
Autor:
Casey, Richard, Ilie, Cosmin
All of the significant evidence for dark matter observed thus far has been through its gravitational interactions. After 40 years of direct detection experiments, the parameter space for Weakly Interacting Massive Particles (WIMPs) as dark matter can
Externí odkaz:
http://arxiv.org/abs/2407.05752
Autor:
Masala, Mihai, Ilie-Ablachim, Denis C., Dima, Alexandru, Corlatescu, Dragos, Zavelca, Miruna, Olaru, Ovio, Terian, Simina, Terian, Andrei, Leordeanu, Marius, Velicu, Horia, Popescu, Marius, Dascalu, Mihai, Rebedea, Traian
In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English; hence, their performance in English greatly e
Externí odkaz:
http://arxiv.org/abs/2406.18266
Finding dense subnetworks, with density based on edges or more complex structures, such as subgraphs or $k$-cliques, is a fundamental algorithmic problem with many applications. While the problem has been studied extensively in static networks, much
Externí odkaz:
http://arxiv.org/abs/2406.10608
Autor:
Schulhoff, Sander, Ilie, Michael, Balepur, Nishant, Kahadze, Konstantine, Liu, Amanda, Si, Chenglei, Li, Yinheng, Gupta, Aayush, Han, HyoJung, Schulhoff, Sevien, Dulepet, Pranav Sandeep, Vidyadhara, Saurav, Ki, Dayeon, Agrawal, Sweta, Pham, Chau, Kroiz, Gerson, Li, Feileen, Tao, Hudson, Srivastava, Ashay, Da Costa, Hevander, Gupta, Saloni, Rogers, Megan L., Goncearenco, Inna, Sarli, Giuseppe, Galynker, Igor, Peskoff, Denis, Carpuat, Marine, White, Jules, Anadkat, Shyamal, Hoyle, Alexander, Resnik, Philip
Generative Artificial Intelligence (GenAI) systems are being increasingly deployed across all parts of industry and research settings. Developers and end users interact with these systems through the use of prompting or prompt engineering. While prom
Externí odkaz:
http://arxiv.org/abs/2406.06608
Autor:
Masala, Mihai, Ilie-Ablachim, Denis C., Corlatescu, Dragos, Zavelca, Miruna, Leordeanu, Marius, Velicu, Horia, Popescu, Marius, Dascalu, Mihai, Rebedea, Traian
In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English. Hence, their performance in English greatly e
Externí odkaz:
http://arxiv.org/abs/2405.07703
Autor:
Mezei, J. Zs, Colboc, F., Pop, N., Ilie, S., Chakrabarti, K., Niyonzima, S., Leppers, M., Bultel, A., Dulieu, O., Motapon, O., Tennyson, J., Hassouni, K., Schneider, I. F.
Publikováno v:
Plasma Sources Sci. Technol. 25 (2016) 055022 (12pp)
The latest molecular data - potential energy curves and Rydberg-valence interactions - characterising the super-excited electronic states of BF are reviewed in order to provide the input for the study of their fragmentation dynamics. Starting from th
Externí odkaz:
http://arxiv.org/abs/2405.05850
The Lieb lattice is one of the simplest lattices that exhibits both linear Dirac-like and flat topological electronic bands. We propose to further tailor its electronic properties through periodic 1D electrostatic superlattices (SLs), which, in the l
Externí odkaz:
http://arxiv.org/abs/2403.10382
Autor:
Ilie, Cosmin
Any astrophysical object can, in principle, serve as a probe of the interaction between Dark Matter and regular, baryonic matter. This method is based on the potential observable consequences annihilations of captured Dark Matter has on the surface t
Externí odkaz:
http://arxiv.org/abs/2402.07713