no code implementations • 10 Nov 2022 • Ivan P. Yamshchikov, Alexey Tikhonov, Yorgos Pantis, Charlotte Schubert, Jürgen Jost
In particular, the Placita Philosophorum, together with one of the other Pseudo-Plutarch texts, shows similarities with the texts written by authors from an Alexandrian context (2nd/3rd century CE).
no code implementations • 14 Mar 2022 • Parvaneh Joharinad, Jürgen Jost
Topological data analysis asks when balls in a metric space $(X, d)$ intersect.
no code implementations • 30 Oct 2020 • Jürgen Jost
In computer science, we can theoretically neatly separate transmission and processing of information, hardware and software, and programs and their inputs.
no code implementations • 25 Sep 2020 • Areejit Samal, Hirdesh K. Pharasi, Sarath Jyotsna Ramaia, Harish Kannan, Emil Saucan, Jürgen Jost, Anirban Chakraborti
The complexity of financial markets arise from the strategic interactions among agents trading stocks, which manifest in the form of vibrant correlation patterns among stock prices.
no code implementations • 12 Mar 2020 • Ivan P. Yamshchikov, Cyrille Merleau Nono Saha, Igor Samenko, Jürgen Jost
This position paper looks into the formation of language and shows ties between structural properties of the words in the English language and their polysemy.
2 code implementations • 7 Nov 2019 • Leonardo Novelli, Fatihcan M. Atay, Jürgen Jost, Joseph T. Lizier
The pairwise (or bivariate) transfer entropy from a source to a target node in a network does not depend solely on the local source-target link weight, but on the wider network structure that the link is embedded in.
Information Theory Social and Information Networks Information Theory Data Analysis, Statistics and Probability Neurons and Cognition
no code implementations • WS 2019 • Ivan P. Yamshchikov, Viacheslav Shibaev, Aleksander Nagaev, Jürgen Jost, Alexey Tikhonov
This paper focuses on latent representations that could effectively decompose different aspects of textual information.
no code implementations • 21 May 2019 • Benjamin Inden, Jürgen Jost
Many experiments have been performed that use evolutionary algorithms for learning the topology and connection weights of a neural network that controls a robot or virtual agent.
no code implementations • 30 Mar 2019 • Parvaneh Joharinad, Jürgen Jost
We develop a new concept of non-positive curvature for metric spaces, based on intersection patterns of closed balls.
Metric Geometry
no code implementations • 20 Dec 2017 • Areejit Samal, R. P. Sreejith, Jiao Gu, Shiping Liu, Emil Saucan, Jürgen Jost
We have performed an empirical comparison of two distinct notions of discrete Ricci curvature for graphs or networks, namely, the Forman-Ricci curvature and Ollivier-Ricci curvature.
Differential Geometry Discrete Mathematics
1 code implementation • 1 Mar 2016 • R. P. Sreejith, Karthikeyan Mohanraj, Jürgen Jost, Emil Saucan, Areejit Samal
We adapt Forman's discretization of Ricci curvature to the case of undirected networks, both weighted and unweighted, and investigate the measure in a variety of model and real-world networks.
Molecular Networks Disordered Systems and Neural Networks Physics and Society