Zobrazeno 1 - 10
of 3 473
pro vyhledávání: '"Mesbahi, A"'
Autor:
Mesbahi, Yassir El, Noutahi, Emmanuel
SMILES-based molecular generative models have been pivotal in drug design but face challenges in fragment-constrained tasks. To address this, the Sequential Attachment-based Fragment Embedding (SAFE) representation was recently introduced as an alter
Externí odkaz:
http://arxiv.org/abs/2410.20232
Autor:
Bendidi, Ihab, Whitfield, Shawn, Kenyon-Dean, Kian, Yedder, Hanene Ben, Mesbahi, Yassir El, Noutahi, Emmanuel, Denton, Alisandra K.
Understanding the relationships among genes, compounds, and their interactions in living organisms remains limited due to technological constraints and the complexity of biological data. Deep learning has shown promise in exploring these relationship
Externí odkaz:
http://arxiv.org/abs/2410.13956
This paper is a continuation of earlier work of Arslan \cite{Ars}, who introduced the Mahonian number of type $B$ by using a new statistic on the hyperoctahedral group $B_{n}$, in response to questions he suggested in his paper entitled "{\it A combi
Externí odkaz:
http://arxiv.org/abs/2408.02424
In this paper, we propose the number of permutations of length $n$ having $k$ overlined inversions, which we call over-Mahonian number. We study useful properties and some combinatorial interpretations by lattice paths/overpartitions and tilings. Fur
Externí odkaz:
http://arxiv.org/abs/2406.10487
This survey explores the geometric perspective on policy optimization within the realm of feedback control systems, emphasizing the intrinsic relationship between control design and optimization. By adopting a geometric viewpoint, we aim to provide a
Externí odkaz:
http://arxiv.org/abs/2406.04243
Autor:
Kim, Taewan, Kamath, Abhinav G., Rahimi, Niyousha, Corleis, Jasper, Açıkmeşe, Behçet, Mesbahi, Mehran
This paper presents a numerical optimization algorithm for generating approach and landing trajectories for a six-degree-of-freedom (6-DoF) aircraft. We improve on the existing research on aircraft landing trajectory generation by formulating the tra
Externí odkaz:
http://arxiv.org/abs/2405.16680
In continual or lifelong reinforcement learning, access to the environment should be limited. If we aspire to design algorithms that can run for long periods, continually adapting to new, unexpected situations, then we must be willing to deploy our a
Externí odkaz:
http://arxiv.org/abs/2404.02113
Autor:
Kraisler, Spencer, Mesbahi, Mehran
Publikováno v:
IEEE Control Systems Letters, vol. 8, pp. 1577-1582, 2024
We consider direct policy optimization for the linear-quadratic Gaussian (LQG) setting. Over the past few years, it has been recognized that the landscape of dynamic output-feedback controllers of relevance to LQG has an intricate geometry, particula
Externí odkaz:
http://arxiv.org/abs/2403.17157
Autor:
Rahimi, Niyousha, Mesbahi, Mehran
This paper addresses the problem of designing a data-driven feedback controller for complex nonlinear dynamical systems in the presence of time-varying disturbances with unknown dynamics. Such disturbances are modeled as the "unknown" part of the sys
Externí odkaz:
http://arxiv.org/abs/2311.12230
Characterized by a cross-disciplinary nature, the bearing-based target localization task involves estimating the position of an entity of interest by a group of agents capable of collecting noisy bearing measurements. In this work, this problem is ta
Externí odkaz:
http://arxiv.org/abs/2311.10221