21 papers · ranked by Valyu relevance
Adrianna Loback, Jason Prentice, Mark L. Ioffe, Michael J. Berry
An appealing new principle for neural population codes is that correlations among neurons organize neural activity patterns into a discrete set of clusters, which can each be viewed as a noise-robust population codeword. Previous studies assumed that these codewords corresponded geometrically with local peaks in the…
Amirsaeid Safari, Jesse B. Hoagg
Dynamic Environments Authors: ['Amirsaeid Safari' 'Jesse B. Hoagg'] Abstract—We present a closed-form optimal feedback control method that ensures safety in an a priori unknown and potentially dynamic environment. This article considers the scenario where local perception data (e.g., LiDAR) is obtained periodically…
Lars van der Laan, Nathan Kallus
Fitted Q-iteration (FQI) and its entropy-regularized variant, soft FQI, are central tools for value-based model-free offline reinforcement learning, but can behave poorly under function approximation and distribution shift. In the entropy-regularized setting, we show that the soft Bellman operator is locally…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Tiago da Silva Ribeiro, José A. Galván, John E. Pool
Local adaptation can lead to elevated genetic differentiation at the targeted genetic variant and nearby sites. Selective sweeps come in different forms, and depending on the initial and final frequencies of a favored variant, very different patterns of genetic variation may be produced. If local selection favors an…
Kai Yan, Jie Yan, Chuan Luo, Liting Chen + 2 more
'Dongmei Zhang'] Prediction+optimization is a common real-world paradigm where we have to predict problem parameters before solving the optimization problem. However, the criteria by which the prediction model is trained are often inconsistent with the goal of the downstream optimization problem. Recently…
Romain Gallet, Rémy Froissart, Virginie Ravigné
This preprint has been reviewed and recommended by Peer Community In Evolutionary Biology (http://dx.doi.org/10.24072/pci.evolbiol.100020). Predicting and managing contemporary adaption requires a proper understanding of the determinants of genetic variation. Spatial heterogeneity of the environment may stably maintain…
Authors not listed
We must address active matter in the context of soft boundaries in order to bridge the gap between our understanding of active matter and the dynamics of the biological systems (that the active matter represent) under natural conditions. However, the physics of such active drops (matter) in contact with a soft and…
Michael J. Hutcheon, Andrew M. Teale
of Functions on Arbitrary Grids: Applications to Quantum Chemistry Authors: ['Michael J. Hutcheon' 'Andrew M. Teale'] Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require…
Samer Al Ghour, Zanyar A. Ameen
In the present paper, detailed properties of soft submaximal topological spaces have been discussed. It starts by examining how well soft submaximal spaces behave when subjected to some operations, such as: taking soft subspaces, soft products, soft topological sum and images/preimages under certain soft mappings.…
Min-Jae Lee, Gi-Mun Um, Joungil Yun, Won-Sik Cheong + 2 more
'Denis Laurendeau'] In this paper, we propose a multi-view stereo matching method, EnSoft3D (Enhanced Soft 3D Reconstruction) to obtain dense and high-quality depth images. Multi-view stereo is one of the high-interest research areas and has wide applications. Motivated by the Soft3D reconstruction method, we introduce…
Oren Mangoubi, Nisheeth K. Vishnoi
Min-max optimization of an objective function f ∶ R d×R d → R is an important model for robustness in an adversarial setting, with applications to many areas including optimization, economics, and deep learning. In many applications f may be nonconvex-nonconcave, and finding a global min-max point may be…
Zaijun Zhang, Jincheng Zhou, Xiaoxia Wang, Heng Yang + 10 more
'Marcin Sosnowski' 'Jaroslaw Krzywanski' 'Karolina Grabowska' 'Dorian Skrobek' 'Ghulam Moeen Uddin' 'Yunfei Gao' 'Anna Zylka' 'Anna Kulakowska' 'Bachil El Fil'] The (weighted) partial maximum satisfiability ((W)PMS) problem is an important generalization of the classic problem of propositional (Boolean) satisfiability…
Marcel Štefko, Baptiste Ottino, Kyle M. Douglass, Suliana Manley
Super-resolution fluorescence microscopy improves spatial resolution, but this comes at a loss of image throughput and presents unique challenges in identifying optimal acquisition parameters. Microscope automation routines can offset these drawbacks, but thus far have required user inputs that presume a priori…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Authors not listed
With the ever-increasing demand for atomistic structures representative of real-life systems as well as the ad-vent of exascale computers, it has now become necessary and possible to use advanced global optimization (GO) techniques to intelligently sample the potential energy surface (PES). Given the previous studies…
Juanru Guo, Simona Sarafinovska, Ryan A. Hagenson, Mark C. Valentine + 3 more
Spatial transcriptomics (ST) promises to reveal the principles of tissue organization and regional variation. With the advent of high-resolution capture-based ST methods such as Visium HD, new approaches are needed that faithfully assign transcripts to individual cells and enable the analysis of cells in complex tissue…
MANABU HOSHI, NAOTO OEBISU, JUN TAKADA, MAKOTO IEGUCHI + 2 more
'KENICHI WAKASA' 'HIROAKI NAKAMURA'] The aim of the current study was to evaluate the limitations of 2-deoxy-2-F18-fluoro-D-glucose positron emission tomography combined with computed tomography (FDG-PET/CT) when monitoring soft tissue tumors. The diagnostic criteria of malignancy was defined as the tumor having a…
Beliz Sertcan, Jürg Hutter, Anna-Sophia Hehn
Augmented plane wave methods enable an efficient description of atom-centered or localized features of the electronic density, circumventing high energy cutoffs and thus prohibitive computational costs of pure plane wave formulations. To complement existing implementations for ground-state properties and excitation…
Vakkas Uluçay, Mehmet Şahin, Necati Olgun
Molodtsov introduced the concept of soft sets, which can be seen as a new mathematical tool for dealing with uncertainty. In this paper, we initiate the study of soft normed rings by soft set theory. The notions of soft normed rings, soft normed ideals, soft complete normed rings are introduced and also several related…
Liu Yang, Zhilei Zhang, Zengzhi Zhang, Yuzhong Lou + 5 more
'Jiaqi Liu' 'Liu Fang' 'Shangsheng Zhang' 'Junzhi Yu'] This study first draws inspiration from the dual biomimetic design of plant cell walls and honeycomb structures, drawing on their structural characteristics to design a flexible shell structure that can achieve significant deformation and withstand large loads.…