Zobrazeno 1 - 10
of 13 301
pro vyhledávání: '"Kostic, A."'
We present a novel data-driven simulation environment for modeling traffic in metropolitan street intersections. Using real-world tracking data collected over an extended period of time, we train trajectory forecasting models to learn agent interacti
Externí odkaz:
http://arxiv.org/abs/2408.00943
Autor:
Perez-Ramirez, Daniel F., Pérez-Penichet, Carlos, Tsiftes, Nicolas, Kostic, Dejan, Boman, Magnus, Voigt, Thiemo
Battery-free sensor tags are devices that leverage backscatter techniques to communicate with standard IoT devices, thereby augmenting a network's sensing capabilities in a scalable way. For communicating, a sensor tag relies on an unmodulated carrie
Externí odkaz:
http://arxiv.org/abs/2407.08479
Autor:
Wadhwa, Surjit S., Popowicz, Adam, Michel, Raul, Kostic, Petar, Vince, Oliver, Tothill, Nick F. H., De Horta, Ain Y., Filipovic, Miroslav D.
Low mass ratio contact binary systems are more likely to have unstable orbits and potentially merge. In addition, such systems exhibit characteristics such as starspots and high energy emissions (UV) suggestive of chromospheric and magnetic activity.
Externí odkaz:
http://arxiv.org/abs/2407.08365
Could information about future incoming packets be used to build more efficient CPU-based packet processors? Can such information be obtained accurately? This paper studies novel packet processing architectures that receive external hints about which
Externí odkaz:
http://arxiv.org/abs/2407.04344
Autor:
Kostic, Vladimir R., Lounici, Karim, Pacreau, Gregoire, Novelli, Pietro, Turri, Giacomo, Pontil, Massimiliano
We introduce NCP (Neural Conditional Probability), a novel operator-theoretic approach for learning conditional distributions with a particular focus on inference tasks. NCP can be used to build conditional confidence regions and extract important st
Externí odkaz:
http://arxiv.org/abs/2407.01171
We investigate learning the eigenfunctions of evolution operators for time-reversal invariant stochastic processes, a prime example being the Langevin equation used in molecular dynamics. Many physical or chemical processes described by this equation
Externí odkaz:
http://arxiv.org/abs/2406.09028
Autor:
Kostić, Jovana, Vujošević, Slobodan
The literature dealing with G\"{o}del's legacy is largely preoccupied with challenging his philosophical views, regarding them as outdated. We believe that such an approach prevents us from seeing G\"{o}del's views in the right light and understandin
Externí odkaz:
http://arxiv.org/abs/2406.05442
Autor:
Kostic, Vladimir R., Lounici, Karim, Halconruy, Helene, Devergne, Timothee, Pontil, Massimiliano
We address data-driven learning of the infinitesimal generator of stochastic diffusion processes, essential for understanding numerical simulations of natural and physical systems. The unbounded nature of the generator poses significant challenges, r
Externí odkaz:
http://arxiv.org/abs/2405.12940
Mathematical research is often motivated by the desire to reach a beautiful result or to prove it in an elegant way. Mathematician's work is thus strongly influenced by his aesthetic judgments. However, the criteria these judgments are based on remai
Externí odkaz:
http://arxiv.org/abs/2405.05379
Autor:
Turkcan, Mehmet Kerem, Narasimhan, Sanjeev, Zang, Chengbo, Je, Gyung Hyun, Yu, Bo, Ghasemi, Mahshid, Ghaderi, Javad, Zussman, Gil, Kostic, Zoran
We introduce Constellation, a dataset of 13K images suitable for research on detection of objects in dense urban streetscapes observed from high-elevation cameras, collected for a variety of temporal conditions. The dataset addresses the need for cur
Externí odkaz:
http://arxiv.org/abs/2404.16944