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Irregularly sampled time series (ISTS) are widespread in real-world scenarios, exhibiting asynchronous observations on uneven time intervals across variables. Existing ISTS forecasting methods often solely utilize historical observations to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Zhi Lei , Chenxi Liu , Hao Miao , Wanghui Qiu , Bin Yang , Chenjuan Guo

We study the group of interval exchange transformations. Let $T$ be an $m$-interval exchange transformation. By the rank of $T$ we mean the dimension of the $\mathbb{Q}$-vector space spanned by the lengths of the exchanged subintervals. We…

Dynamical Systems · Mathematics 2019-10-28 Daniel Bernazzani

Numerical simulations of coupled map lattices (CMLs) and other complex model systems show an enormous phenomenological variety that is difficult to classify and understand. It is therefore desirable to establish analytical tools for…

Chaotic Dynamics · Physics 2009-11-10 H. Atmanspacher , T. Filk , H. Scheingraber

Let $\Gamma$ be a finite, undirected, connected, simple graph. We say that a matching $\mathcal{M}$ is a \textit{permutable $m$-matching} if $\mathcal{M}$ contains $m$ edges and the subgroup of $\text{Aut}(\Gamma)$ that fixes the matching…

Combinatorics · Mathematics 2020-08-17 Alex Schaefer , Eric Swartz

The Interaction-Transformation (IT) is a new representation for Symbolic Regression that restricts the search space into simpler, but expressive, function forms. This representation has the advantage of creating a smoother search space…

Machine Learning · Computer Science 2020-09-22 Fabricio Olivetti de Franca , Guilherme Seidyo Imai Aldeia

This paper addresses characterizations of Integral Input-to-State Stability (iISS) for hybrid systems with memory. Based on the Krasovskii approach, a novel Lyapunov characterization of iISS is established to extend the hybrid system theory…

Systems and Control · Electrical Eng. & Systems 2026-04-24 Wenbang Wang , Neng Li , Wei Ren

Based on the domain variational point of view, we carry on stability analysis on two shape optimization problems from thermal insulation background. The novelty is that, we do not require that the second variation is normal to the boundary.…

Analysis of PDEs · Mathematics 2022-05-03 Yong Huang , Qinfeng Li , Qiuqi Li

This paper deals with dynamical networks for which the relations between node signals are described by proper transfer functions and external signals can influence each of the node signals. We are interested in graph-theoretic conditions…

Optimization and Control · Mathematics 2019-12-02 Henk J. van Waarde , Pietro Tesi , M. Kanat Camlibel

We develop a renormalization scheme which extends the classical Rauzy-Veech induction used to study interval exchange tranformations (IETs) and allows to study generalized interval exchange transformations (GIETs) $T: [0,1) \to [0,1)$ with…

Dynamical Systems · Mathematics 2025-04-29 Charles Fougeron , Sophie Schmidhuber , Corinna Ulcigrai

Image-to-Image (I2I) multi-domain translation models are usually evaluated also using the quality of their semantic interpolation results. However, state-of-the-art models frequently show abrupt changes in the image appearance during…

Computer Vision and Pattern Recognition · Computer Science 2021-06-17 Yahui Liu , Enver Sangineto , Yajing Chen , Linchao Bao , Haoxian Zhang , Nicu Sebe , Bruno Lepri , Wei Wang , Marco De Nadai

It is well known that attributed tree transducers can be equipped with "regular look-around" in order to obtain a more robust class of translations. We present two characterizations of this class in terms of macro tree transducers (MTTs):…

Formal Languages and Automata Theory · Computer Science 2022-09-16 Kenji Hashimoto , Sebastian Maneth

Irregular multivariate time series (IMTS) is characterized by the lack of synchronized observations across its different channels. In this paper, we point out that this channel-wise asynchrony can lead to poor channel-wise modeling of…

Machine Learning · Computer Science 2025-09-23 Shuhan Zhong , Weipeng Zhuo , Sizhe Song , Guanyao Li , Zhongyi Yu , S. -H. Gary Chan

In this paper, we address the stability of transport systems and wave propagation on networks with time-varying parameters. We do so by reformulating these systems as non-autonomous difference equations and by providing a suitable…

Analysis of PDEs · Mathematics 2016-11-07 Yacine Chitour , Guilherme Mazanti , Mario Sigalotti

One of the main reasons for topological persistence being useful in data analysis is that it is backed up by a stability (isometry) property: persistence diagrams of $1$-parameter persistence modules are stable in the sense that the…

Computational Geometry · Computer Science 2021-08-18 Tamal K. Dey , Cheng Xin

Image translation for change detection or classification in bi-temporal remote sensing images is unique. Although it can acquire paired images, it is still unsupervised. Moreover, strict semantic preservation in translation is always needed…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Sheng Fang , Kaiyu Li , Zhe Li , Jianli Zhao , Xingli Zhang

Non-linear image reconstruction and signal analysis deal with complex inverse problems. To tackle such problems in a systematic way, I present information field theory (IFT) as a means of Bayesian, data based inference on spatially…

Instrumentation and Methods for Astrophysics · Physics 2015-06-12 Torsten Enßlin

Interpretability is central to trustworthy machine learning, yet existing metrics rarely quantify how effectively data support an interpretive representation. We propose Interpretive Efficiency, a normalized, task-aware functional that…

Machine Learning · Computer Science 2025-12-09 Ronald Katende

In many unpaired image domain translation problems, e.g., style transfer or super-resolution, it is important to keep the translated image similar to its respective input image. We propose the extremal transport (ET) which is a mathematical…

Machine Learning · Computer Science 2023-11-03 Milena Gazdieva , Alexander Korotin , Daniil Selikhanovych , Evgeny Burnaev

Recent advances in Vision Transformers (ViTs) have significantly advanced semantic segmentation performance. However, their adaptation to new target domains remains challenged by distribution shifts, which often disrupt global attention…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Enming Zhang , Zhengyu Li , Yanru Wu , Jingge Wang , Yang Tan , Guan Wang , Yang Li , Xiaoping Zhang

Transitivity, the existence of periodic points and positive topological entropy can be used to characterize complexity in dynamical systems. It is known that for graphs that are not trees, for every $\varepsilon>0,$ there exist (complicate)…

Dynamical Systems · Mathematics 2018-07-05 Lluís Alsedà , Liane Bordignon , Jorge Groisman