Výsledky vyhledávání - "Georgiev, A. P."

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Canonical correlation analysis of stochastic trends via functional approximation

Autor: Franchi, Massimo, Georgiev, Iliyan, Paruolo, Paolo

This paper proposes a novel canonical correlation analysis for semiparametric inference in $I(1)/I(0)$ systems via functional approximation. The approach can be applied coherently to panels of $p$ variables with a generic number $s$ of stochastic tre

Externí odkaz: http://arxiv.org/abs/2411.19572

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SAMa: Material-aware 3D Selection and Segmentation

Autor: Fischer, Michael, Georgiev, Iliyan, Groueix, Thibault, Kim, Vladimir G., Ritschel, Tobias, Deschaintre, Valentin

Decomposing 3D assets into material parts is a common task for artists and creators, yet remains a highly manual process. In this work, we introduce Select Any Material (SAMa), a material selection approach for various 3D representations. Building on

Externí odkaz: http://arxiv.org/abs/2411.19322

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DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation

Autor: Bagajo, Joshua, Schwarke, Clemens, Klemm, Victor, Georgiev, Ignat, Sleiman, Jean-Pierre, Tordesillas, Jesus, Garg, Animesh, Hutter, Marco

Differentiable simulators provide analytic gradients, enabling more sample-efficient learning algorithms and paving the way for data intensive learning tasks such as learning from images. In this work, we demonstrate that locomotion policies trained

Externí odkaz: http://arxiv.org/abs/2411.02189

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Attribute-to-Delete: Machine Unlearning via Datamodel Matching

Autor: Georgiev, Kristian, Rinberg, Roy, Park, Sung Min, Garg, Shivam, Ilyas, Andrew, Madry, Aleksander, Neel, Seth

Machine unlearning -- efficiently removing the effect of a small "forget set" of training data on a pre-trained machine learning model -- has recently attracted significant research interest. Despite this interest, however, recent work shows that exi

Externí odkaz: http://arxiv.org/abs/2410.23232

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Shape evolution in even-mass $^{98-104}$Zr isotopes via lifetime measurements using the $\gamma\gamma$-coincidence technique

Autor: Pasqualato, G., Ansari, S., Heines, J. S., Modamio, V., Görgen, A., Korten, W., Ljungvall, J., Clément, E., Dudouet, J., Lemasson, A., Rodríguez, T. R., Allmond, J. M., Arici, T., Beckmann, K. S., Bruce, A. M., Doherty, D., Esmaylzadeh, A., Gamba, E. R., Gerhard, L., Gerl, J., Georgiev, G., Ivanova, D. P., Jolie, J., Kim, Y. -H., Knafla, L., Korichi, A., Koseoglou, P., Labiche, M., Lalkovski, S., Lauritsen, T., Li, H. -J., Pedersen, L. G., Pietri, S., Ralet, D., Regis, J. M., Rudigier, M., Saha, S., Sahin, E., Siem, S., Singh, P., öderström, P. -A., Theisen, C., Tornyi, T., Vandebrouck, M., Witt, W., Zielińska, M., Barrientos, D., Bednarczyk, P., Benzoni, G., Boston, A. J., Boston, H. C., Bracco, A., Cederwall, B, Ciemala, M., de France, G., Domingo-Pardo, C., Eberth, J., Gadea, A., González, V., Gottardo, A., Harkness-Brennan, L. J., Hess, H., Judson, D. S., Jungclaus, A., Lenzi, S. M., Leoni, S., Menegazzo, R., Mengoni, D., Michelagnoli, C., Napoli, D. R., Nyberg, J., Podolyak, Zs., Pullia, A., Recchia, F., Reiter, P., Rezynkina, K., Salsac, M. D., Sanchis, E., Şenyiğit, M., Siciliano, M., Simpson, J., Sohler, D., Stezowski, O., Valiente-Dobón, J. J., Verney, D.

Publikováno v: Eur. Phys. J. A (2023) 59:276

The Zirconium (Z = 40) isotopic chain has attracted interest for more than four decades. The abrupt lowering of the energy of the first $2^+$ state and the increase in the transition strength B(E2; $2_1^\rightarrow 0_1^+$ going from $^{98}$Zr to $^{1

Externí odkaz: http://arxiv.org/abs/2410.17004

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Measurements of power dissipated in an atmospheric pressure plasma jet device with double plasma discharge ignition

Autor: Nascimento, Fellype do, Petroski, Kleber Alexandre, Nishime, Thalita Mayumi Castaldelli, Kostov, Konstantin Georgiev

Atmospheric pressure plasma jets (APPJs) are versatile devices with numerous applications. This work focuses on APPJs generated at the tip of long, flexible tubes using the jet transfer technique. The plasma source consists of a primary discharge and

Externí odkaz: http://arxiv.org/abs/2410.17003

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Local well-posedness and blow-up in the energy space for the 2D NLS with point interaction

Autor: Forcella, Luigi, Georgiev, Vladimir

We consider the two-dimensional nonlinear Schr\"odinger equation with point interaction and we establish a local well-posedness theory, including blow-up alternative and continuous dependence on the initial data in the energy space. We provide a proo

Externí odkaz: http://arxiv.org/abs/2410.16039

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Deep Equilibrium Algorithmic Reasoning

Autor: Georgiev, Dobrik, Wilson, JJ, Buffelli, Davide, Liò, Pietro

Neural Algorithmic Reasoning (NAR) research has demonstrated that graph neural networks (GNNs) could learn to execute classical algorithms. However, most previous approaches have always used a recurrent architecture, where each iteration of the GNN m

Externí odkaz: http://arxiv.org/abs/2410.15059

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