Zobrazeno 1 - 10
of 28 104
pro vyhledávání: '"Sieber, A."'
Autor:
Dankowicz, Harry, Sieber, Jan
Bifurcation analysis collects techniques for characterizing the dependence of certain classes of solutions of a dynamical system on variations in problem parameters. Common solution classes of interest include equilibria and periodic orbits, the numb
Externí odkaz:
http://arxiv.org/abs/2411.00735
Rank collapse, a phenomenon where embedding vectors in sequence models rapidly converge to a uniform token or equilibrium state, has recently gained attention in the deep learning literature. This phenomenon leads to reduced expressivity and potentia
Externí odkaz:
http://arxiv.org/abs/2410.10609
Autor:
Ando', Alessia, Sieber, Jan
We prove convergence of piecewise polynomial collocation methods applied to periodic boundary value problems for functional differential equations with state-dependent delays. The state dependence of the delays leads to nonlinearities that are not lo
Externí odkaz:
http://arxiv.org/abs/2410.07375
Autor:
Andreev, Yu. M., Banerjee, D., Oberhauser, B. Banto, Bernhard, J., Bisio, P., Charitonidis, N., Crivelli, P., Depero, E., Dermenev, A. V., Donskov, S. V., Dusaev, R. R., Enik, T., Frolov, V. N., Gardikiotis, A., Gertsenberger, S. V., Girod, S., Gninenko, S. N., Hösgen, M., Joosten, R., Kachanov, V. A., Kambar, Y., Karneyeu, A. E., Kasianova, E. A., Kekelidze, G., Ketzer, B., Kirpichnikov, D. V., Kirsanov, M. M., Kolosov, V. N., Kramarenko, V. A., Kravchuk, L. V., Krasnikov, N. V., Kuleshov, S. V., Lyubovitskij, V. E., Lysan, V., Matveev, V. A., Fredes, R. Mena, Yanssen, R. G. Mena, Bueno, L. Molina, Mongillo, M., Peshekhonov, D. V., Polyakov, V. A., Radics, B., Salamatin, K. M., Samoylenko, V. D., Shchukin, D. A., Soto, O., Sieber, H., Tikhomirov, V. O., Tlisova, I. V., Toropin, A. N., Tuzi, M., Veit, B. M., Volkov, P. V., Volkov, V. Yu., Voronchikhin, I. V., Zamora-Saá, J., Zhevlakov, A. S.
A search for Dark Sectors is performed using the unique M2 beam line at the CERN Super Proton Synchrotron. New particles ($X$) could be produced in the bremsstrahlung-like reaction of high energy 160 GeV muons impinging on an active target, $\mu N\ri
Externí odkaz:
http://arxiv.org/abs/2409.10128
We consider the solution of an additive fractional stochastic differential equation (SDE) and, leveraging continuous observations of the process, introduce a methodology for estimating its stationary density $\pi$. Initially, employing a tailored mar
Externí odkaz:
http://arxiv.org/abs/2408.15904
Accurate prediction of drug-target interactions is critical for advancing drug discovery. By reducing time and cost, machine learning and deep learning can accelerate this laborious discovery process. In a novel approach, BarlowDTI, we utilise the po
Externí odkaz:
http://arxiv.org/abs/2408.00040
Autor:
Schnakenbeck, Aron, Sieber, Christoph, da Silva, Luis Miguel Vieira, Gehlhoff, Felix, Fay, Alexander
Mobile robots, becoming increasingly autonomous, are capable of operating in diverse and unknown environments. This flexibility allows them to fulfill goals independently and adapting their actions dynamically without rigidly predefined control codes
Externí odkaz:
http://arxiv.org/abs/2407.02876
Tube-based model predictive control (MPC) is the principal robust control technique for constrained linear systems affected by additive disturbances. While tube-based methods that compute the tubes online have been successfully applied to systems wit
Externí odkaz:
http://arxiv.org/abs/2406.12573
Autor:
Andreev, Yu. M., Antonov, A., Torres, M. A. Ayala, Banerjee, D., Oberhauser, B. Banto, Bernhard, J., Bisio, P., Celentano, A., Charitonidis, N., Cooke, D., Crivelli, P., Depero, E., Dermenev, A. V., Donskov, S. V., Dusaev, R. R., Enik, T., Frolov, V. N., Gertsenberger, S. V., Girod, S., Gninenko, S. N., Hosgen, M., Kachanov, V. A., Kambar, Y., Karneyeu, A. E., Kekelidze, G. D., Ketzer, B., Kirpichnikov, D. V., Kolosov, V. N., Kramarenko, V. A., Kravchuk, L. V., Krasnikov, N. V., Kuleshov, S. V., Lyubovitskij, V. E., Marini, A., Marsicano, L., Matveev, V. A., Fredes, R. Mena, Yanssen, R. G. Mena, Bueno, L. Molina, Mongillo, M., Peshekhonov, D. V., Polyakov, V. A., Radics, B., Salamatin, K. M., Samoylenko, V. D., Sieber, H., Shchukin, D. A., Soto, O., Tikhomirov, V. O., Tlisova, I. V., Toropin, A. N., Tuzi, M., Volkov, P. V., Volkov, V. Yu., Voronchikhin, I. V., Zamora-Saa, J., Zhevlakov, A. S.
We present the first results from a proof-of-concept search for dark sectors via invisible decays of pseudoscalar $\eta$ and $\eta'$ mesons in the NA64h experiment at the CERN SPS. Our novel technique uses the charge-exchange reaction of 50 GeV $\pi^
Externí odkaz:
http://arxiv.org/abs/2406.01990
Autor:
Sieber, Jerome, Alonso, Carmen Amo, Didier, Alexandre, Zeilinger, Melanie N., Orvieto, Antonio
Softmax attention is the principle backbone of foundation models for various artificial intelligence applications, yet its quadratic complexity in sequence length can limit its inference throughput in long-context settings. To address this challenge,
Externí odkaz:
http://arxiv.org/abs/2405.15731