Zobrazeno 1 - 10
of 7 401
pro vyhledávání: '"Sieber P"'
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 discovery process. Our approach utilises the powerful Barlow Twins architectur
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
Autor:
Ponten, A., Sieber, H., Oberhauser, B. Banto, Crivelli, P., Kirpichnikov, D., Gninenko, S. N., Hösgen, M., Bueno, L. Molina, Mongillo, M., Zhevlakov, A.
In this study, we demonstrate the potential of the NA64 experiment at CERN SPS to search for New Physics processes involving $e\rightarrow\mu$ transitions after the collision of 100 GeV electrons with target nuclei. A new Dark Sector leptonic portal
Externí odkaz:
http://arxiv.org/abs/2404.15931
Autor:
Andreev, Yu. M., Antonov, A., 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., Gardikiotis, A., Gninenko, S. N., Hösgen, M., Kachanov, V. A., Kambar, Y., Karneyeu, A. E., Kekelidze, G., Ketzer, B., Kirpichnikov, D. V., Kirsanov, M. M., Kolosov, V. N., Gertsenberger, S. V., Girod, S., Kasianova, E. A., Kramarenko, V. A., Kravchuk, L. V., Krasnikov, N. V., Kuleshov, S. V., Lyubovitskij, V. E., Lysan, V., Marini, A., Marsicano, L., Matveev, V. A., Fredes, R. Mena, Yanssen, R. Mena, Bueno, L. Molina, Mongillo, M., Peshekhonov, D. V., Polyakov, V. A., Radics, B., Salamatin, K., Samoylenko, V. D., Sieber, H., Shchukin, D., Soto, O., Tikhomirov, V. O., Tlisova, I., Toropin, A. N., Tuzi, M., Ulloa, P., Volkov, P. V., Volkov, V. Yu., Voronchikhin, I. V., Zamora-Saá, J., Zhevlako, A. S.
The inclusion of an additional $U(1)$ gauge $L_\mu-L_\tau$ symmetry would release the tension between the measured and the predicted value of the anomalous muon magnetic moment: this paradigm assumes the existence of a new, light $Z^\prime$ vector bo
Externí odkaz:
http://arxiv.org/abs/2404.06982
We consider inexact policy iteration methods for large-scale infinite-horizon discounted MDPs with finite spaces, a variant of policy iteration where the policy evaluation step is implemented inexactly using an iterative solver for linear systems. In
Externí odkaz:
http://arxiv.org/abs/2404.06136
In recent years, there has been a growing interest in integrating linear state-space models (SSM) in deep neural network architectures of foundation models. This is exemplified by the recent success of Mamba, showing better performance than the state
Externí odkaz:
http://arxiv.org/abs/2403.16899
Autor:
Tkáč, Michal, Sieber, Jakub, Kuhlmann, Lara, Brueggenolte, Matthias, Rinciog, Alexandru, Henke, Michael, Schweidtmann, Artur M., Gao, Qinghe, Theisen, Maximilian F., Shawi, Radwa El
Machine Learning (ML) techniques are encountered nowadays across disciplines, from social sciences, through natural sciences to engineering. The broad application of ML and the accelerated pace of its evolution lead to an increasing need for dedicate
Externí odkaz:
http://arxiv.org/abs/2401.16291