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The flexibility and wide applicability of the Fisher randomization test (FRT) makes it an attractive tool for assessment of causal effects of interventions from modern-day randomized experiments that are increasing in size and complexity.…

Methodology · Statistics 2020-04-21 Xiaokang Luo , Tirthankar Dasgupta , Minge Xie , Regina Liu

Unified multimodal Large Language Models (LLMs) that can both understand and generate visual content hold immense potential. However, existing open-source models often suffer from a performance trade-off between these capabilities. We…

Monte Carlo is a versatile and frequently used tool in statistical physics and beyond. Correspondingly, the number of algorithms and variants reported in the literature is vast, and an overview is not easy to achieve. In this pedagogical…

Statistical Mechanics · Physics 2010-01-04 Michael Kastner

High-energy neutrino astronomy represents an open window both on astrophysical mechanisms of particle acceleration and on fundamental interactions. The possibility of detecting them in large earth-based apparatus, like AUGER, AMANDA,…

Astrophysics · Physics 2007-05-23 M. Ambrosio , C. Aramo , A. Della Selva , G. Miele , S. Pastor , O. Pisanti , L. Rosa

Fuzzing has become one of the most popular techniques to identify bugs in software. To improve the fuzzing process, a plethora of techniques have recently appeared in academic literature. However, evaluating and comparing these techniques…

Cryptography and Security · Computer Science 2021-08-17 David Paaßen , Sebastian Surminski , Michael Rodler , Lucas Davi

Running complex sets of machine learning experiments is challenging and time-consuming due to the lack of a unified framework. This leaves researchers forced to spend time implementing necessary features such as parallelization, caching,…

Machine Learning · Computer Science 2023-11-22 Zac Pullar-Strecker , Xinglong Chang , Liam Brydon , Ioannis Ziogas , Katharina Dost , Jörg Wicker

Monte Carlo simulations are one of the major tools in statistical physics, complex system science, and other fields, and an increasing number of these simulations is run on distributed systems like clusters or grids. This raises the issue…

Other Condensed Matter · Physics 2007-07-03 Heiko Bauke , Stephan Mertens

Assessing predictive models can be challenging. Modelers must navigate a wide array of evaluation methodologies implemented with incompatible interfaces across multiple packages which may give different or even contradictory results, while…

Mathematical Software · Computer Science 2023-03-21 Michael J Mahoney

The paper focuses on mining patterns that are characterized by a fuzzy lagged relationship between the data objects forming them. Such a regulatory mechanism is quite common in real life settings. It appears in a variety of fields: finance,…

Artificial Intelligence · Computer Science 2014-05-16 Eran Shaham , David Sarne , Boaz Ben-Moshe

New features of the Mathematica code FIRE are presented. In particular, it can be applied together with the recently developed code LiteRed by Lee in order to provide an integration by parts reduction to master integrals for quite…

High Energy Physics - Phenomenology · Physics 2015-06-15 A. V. Smirnov , V. A. Smirnov

A simple C++ class structure for construction of a Monte Carlo event generators which can produce unweighted events within relativistic phase space is presented. The generator is self-adapting to the provided matrix element and acceptance…

High Energy Physics - Phenomenology · Physics 2018-12-18 R. A. Kycia , J. Chwastowski , R. Staszewski , J. Turnau

We present a new computer program, $\texttt{feyntrop}$, which uses the tropical geometric approach to evaluate Feynman integrals numerically. In order to apply this approach in the physical regime, we introduce a new parametric…

High Energy Physics - Phenomenology · Physics 2023-08-28 Michael Borinsky , Henrik J. Munch , Felix Tellander

Machine learning decision systems are getting omnipresent in our lives. From dating apps to rating loan seekers, algorithms affect both our well-being and future. Typically, however, these systems are not infallible. Moreover, complex…

Machine Learning · Statistics 2022-02-15 Jakub Wiśniewski , Przemysław Biecek

Forward marginal effects have recently been introduced as a versatile and effective model-agnostic interpretation method particularly suited for non-linear and non-parametric prediction models. They provide comprehensible model explanations…

Machine Learning · Computer Science 2024-09-13 Holger Löwe , Christian A. Scholbeck , Christian Heumann , Bernd Bischl , Giuseppe Casalicchio

We review GENEVA Monte Carlo framework, that combines three theoretical tools used for QCD precise predictions into a single structure. In this talk we highlight its main features, discussing some new improvements involving both colour…

High Energy Physics - Phenomenology · Physics 2023-07-24 Giulia Marinelli

We present a new version 3.1 of the LanHEP software package. New features of the program include tools for the models with extra dimensions, implementation of the particle classes for FeynArts output and using templates with LanHEP…

High Energy Physics - Phenomenology · Physics 2010-05-12 A. Semenov

In this proceedings I discuss the general strategy and impact of tuning Monte-Carlo event generators for physics processes involving top quarks. Special emphasis is put on disinguishing the different usages of event generators in the…

High Energy Physics - Phenomenology · Physics 2019-01-16 Marek Schönherr

FormCalc is a Mathematica package for the automatic computation of tree-level and one-loop Feynman amplitudes. It accepts diagrams generated by FeynArts, simplifies them, and generates a complete Fortran code for their numerical evaluation.…

High Energy Physics - Phenomenology · Physics 2009-11-10 T. Hahn

We present the updated long write-up for version 1.1 of the SPHINX Monte Carlo. The program can be used to simulate polarized nucleon - nucleon collisions at high energies. Spins of colliding particles are taken into account. The program…

High Energy Physics - Phenomenology · Physics 2007-05-23 Stefan Güllenstern , Oliver Martin , Pawel Gornicki , Lech Mankiewicz , Andreas Schäfer

We present the Monte Carlo generator tuning strategy followed, and the tools developed, by the MCnet CEDAR project. We also present new tuning results for the Pythia 6.4 event generator which are based on event shape and hadronisation…

High Energy Physics - Phenomenology · Physics 2009-06-02 Andy Buckley , Hendrik Hoeth , Heiko Lacker , Holger Schulz , Eike von Seggern
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