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Related papers: Selected topics in integrable models

200 papers

A number of topics in analysis are discussed, with emphasis on basic principles. There is some overlap with "Elements of linear and real analysis" (arXiv:math/0108030), with numerous changes in content and presentation since then.

Classical Analysis and ODEs · Mathematics 2011-11-22 Stephen Semmes

In this paper we provide a conceptual overview of latent variable models within a probabilistic modeling framework, an overview that emphasizes the compositional nature and the interconnectedness of the seemingly disparate models commonly…

Machine Learning · Statistics 2017-07-11 Rick Farouni

Topics play an important role in the global organisation of a conversation as what is currently discussed constrains the possible contributions of the participant. Understanding the way topics are organised in interaction would provide…

Computation and Language · Computer Science 2024-02-06 Amandine Decker , Maxime Amblard

Inspired by the theory of desirable gambles that is used to model uncertainty in the field of imprecise probabilities, I present a theory of desirable things. Its aim is to model a subject's beliefs about which things are desirable. What…

Artificial Intelligence · Computer Science 2023-05-12 Jasper De Bock

Basic notions regarding classical integrable systems are reviewed. An algebraic description of the classical integrable models together with the zero curvature condition description is presented. The classical r-matrix approach for discrete…

Mathematical Physics · Physics 2012-03-01 Anastasia Doikou

The paper surveys open problems and questions related to different aspects of integrable systems with finitely many degrees of freedom. Many of the open problems were suggested by the participants of the conference "Finite-dimensional…

Dynamical Systems · Mathematics 2020-01-15 A. Bolsinov , V. Matveev , E. Miranda , S. Tabachnikov

Interpretable classification models are built with the purpose of providing a comprehensible description of the decision logic to an external oversight agent. When considered in isolation, a decision tree, a set of classification rules, or…

Machine Learning · Computer Science 2019-03-18 Riccardo Guidotti , Salvatore Ruggieri

These informal notes discuss a few basic notions and examples, with emphasis on constructions that may be relevant for analysis on metric spaces.

Classical Analysis and ODEs · Mathematics 2007-05-23 Stephen Semmes

We explore various combinatorial problems mostly borrowed from physics, that share the property of being continuously or discretely integrable, a feature that guarantees the existence of conservation laws that often make the problems…

Mathematical Physics · Physics 2017-11-22 Philippe Di Francesco

This is a very brief review of relations between Seiberg-Witten theories and integrable systems with emphasis on the perturbative prepotentials presented at the E.S.Fradkin Memorial Conference.

High Energy Physics - Theory · Physics 2016-09-06 A. Mironov

Circuit representations are becoming the lingua franca to express and reason about tractable generative and discriminative models. In this paper, we show how complex inference scenarios for these models that commonly arise in machine…

Machine Learning · Statistics 2021-02-12 Antonio Vergari , YooJung Choi , Anji Liu , Stefano Teso , Guy Van den Broeck

Interpreting data with mathematical models is an important aspect of real-world industrial and applied mathematical modeling. Often we are interested to understand the extent to which a particular set of data informs and constrains model…

Methodology · Statistics 2025-03-06 Matthew J Simpson , Ruth E Baker

We describe the ind- and pro- categories of the category of definable sets, in some first order theory, in terms of points in a sufficiently saturated model.

Logic · Mathematics 2009-08-05 Moshe Kamensky

This work focuses on the question of how identifiability of a mathematical model, that is, whether parameters can be recovered from data, is related to identifiability of its submodels. We look specifically at linear compartmental models…

Algebraic Geometry · Mathematics 2019-05-27 Elizabeth Gross , Heather A. Harrington , Nicolette Meshkat , Anne Shiu

We discuss several open problems on spectrally bounded operators, some new, some old, adding in a few new insights.

Functional Analysis · Mathematics 2008-10-16 Martin Mathieu

The usual concept of shape invariance is discussed and one extension of this concept is suggested.

High Energy Physics - Theory · Physics 2007-05-23 Elso Drigo Filho , Regina Maria Ricotta

In this letter, we continue the work we started at a previous paper and we propose new series of integrable models in quantum field theory. These models are obtained as perturbed models of the minimal conformal field theories on the…

solv-int · Physics 2009-10-28 S. A. Apikyan , C. J. Efthimiou

There is a need of ensuring machine learning models that are interpretable. Higher interpretability of the model means easier comprehension and explanation of future predictions for end-users. Further, interpretable machine learning models…

Machine Learning · Computer Science 2020-08-17 Gregor Stiglic , Primoz Kocbek , Nino Fijacko , Marinka Zitnik , Katrien Verbert , Leona Cilar

We present a joint modeling approach to identify salient discussion points in spoken meetings as well as to label the discourse relations between speaker turns. A variation of our model is also discussed when discourse relations are treated…

Computation and Language · Computer Science 2017-05-16 Kechen Qin , Lu Wang , Joseph Kim

We review progress on questions related to front propagation into unstable states and point out open problems in the area. We strive to highlight different theoretical perspectives and challenges while also addressing more practical…

Analysis of PDEs · Mathematics 2026-05-12 Montie Avery , Matt Holzer , Arnd Scheel