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200 papers

The Fourier Transform (FT) is a fundamental tool that permeates modern science and technology. While chemistry undergraduates encounter the FT as early as second year, their courses often only mention it in passing because computers…

Current models of inter-nucleon interactions are built within the frame of Effective Field Theories (EFTs). Contrary to traditional nuclear potentials, EFT interactions require a renormalization of their parameters in order to derive…

Nuclear Theory · Physics 2020-05-19 Mehdi Drissi , Thomas Duguet , Vittorio Soma

These proceedings contain the papers that were presented at the 7th Workshop on Models for Formal Analysis of Real Systems (MARS 2026), which took place on 12 April 2026 in Turin, Italy, as a satellite event of the 29th International Joint…

Logic in Computer Science · Computer Science 2026-04-06 Maurice H. ter Beek , Gregor Gössler

Off-policy sampling and experience replay are key for improving sample efficiency and scaling model-free temporal difference learning methods. When combined with function approximation, such as neural networks, this combination is known as…

Machine Learning · Computer Science 2021-07-13 Ray Jiang , Shangtong Zhang , Veronica Chelu , Adam White , Hado van Hasselt

The deployment of deep neural networks on edge devices is a challenging task due to the increasing complexity of state-of-the-art models, requiring efforts to reduce model size and inference latency. Recent studies explore models operating…

Machine Learning · Computer Science 2025-06-16 Jinhee Kim , Seoyeon Yoon , Taeho Lee , Joo Chan Lee , Kang Eun Jeon , Jong Hwan Ko

Integrated circuits and electronic systems, as well as design technologies, are evolving at a great rate -- both quantitatively and qualitatively. Major developments include new interconnects and switching devices with atomic-scale…

Computers and Society · Computer Science 2020-05-05 R. Iris Bahar , Alex K. Jones , Srinivas Katkoori , Patrick H. Madden , Diana Marculescu , Igor L. Markov

The renormalization of composite operators is a fundamental aspect of quantum field theory, relevant for the description of phase transitions and high energy phenomenology. We calculate the anomalous dimensions of a large set of operators…

High Energy Physics - Theory · Physics 2026-01-06 Johan Henriksson , Stefanos R. Kousvos , Jasper Roosmale Nepveu

This paper presents a summary of the first Workshop on Building Linguistically Generalizable Natural Language Processing Systems, and the associated Build It Break It, The Language Edition shared task. The goal of this workshop was to bring…

Computation and Language · Computer Science 2017-11-07 Allyson Ettinger , Sudha Rao , Hal Daumé , Emily M. Bender

Notes from 11 October 2004 lecture presented at the Joint Institute for Nuclear Astrophysics R-Matrix School at Notre Dame University.

Nuclear Theory · Physics 2007-05-23 Carl R. Brune

This is the write-up of the talk I gave at the 23rd International Symposium on Mathematical Programming (ISMP) in Bordeaux, France, July 6th, 2018. The talk was a general overview of the state of the art of time-varying, mainly convex,…

Optimization and Control · Mathematics 2018-08-02 Andrea Simonetto

Graph Neural Networks frequently exhibit significant performance degradation in the out-of-distribution test scenario. While test-time training (TTT) offers a promising solution, existing Parameter Finetuning (PaFT) paradigm suffer from…

Machine Learning · Computer Science 2026-01-30 Jiaxin Zhang , Yiqi Wang , Siwei Wang , Xihong Yang , Yu Shi , Xinwang Liu , En Zhu

Low-precision deep neural network (DNN) training has gained tremendous attention as reducing precision is one of the most effective knobs for boosting DNNs' training time/energy efficiency. In this paper, we attempt to explore low-precision…

Machine Learning · Computer Science 2025-01-07 Yonggan Fu , Han Guo , Meng Li , Xin Yang , Yining Ding , Vikas Chandra , Yingyan Celine Lin

These lectures give an overview of the ongoing application of effective field theory (EFT) and renormalization group (RG) concepts and methods to density functional theory (DFT), with special emphasis on the nuclear many-body problem.

Nuclear Theory · Physics 2015-06-26 R. J. Furnstahl

The workshop on Parton Distributions and Lattice Calculations in the LHC era (PDFLattice2017) was hosted at Balliol College, Oxford (UK), from 22$^{\rm nd}$ to 24$^{\rm th}$ March 2017. The workshop brought together the lattice-QCD and the…

High Energy Physics - Phenomenology · Physics 2017-09-12 Emanuele R. Nocera , Huey-Wen Lin , Fred Olness , Kostas Orginos , Juan Rojo

Fine-tuning large language models (LLMs) often causes overfitting to specific prompt wording, where minor phrasing variations drastically reduce performance. To address this, we propose Prompt-Agnostic Fine-Tuning (PAFT), a method that…

Computation and Language · Computer Science 2025-10-20 Chenxing Wei , Yao Shu , Mingwen Ou , Ying Tiffany He , Fei Richard Yu

This volume contains the proceedings of the Seventh International Workshop on Computing with Terms and Graphs (TERMGRAPH 2013). The workshop took place in Rome, Italy, on March 23rd, 2013, as part of the sixteenth edition of the European…

Symbolic Computation · Computer Science 2013-02-26 Rachid Echahed , Detlef Plump

The neutron EDM experiment has played an important part over many decades in shaping and constraining numerous models of CP violation. This review article discusses some of the techniques used to calculate EDMs under various theoretical…

High Energy Physics - Experiment · Physics 2007-12-05 P. G. Harris

This volume contains a selection of the papers presented at the 2nd International Workshop on Linearity (LINEARITY'2012), which took place 1 April 2012 in Tallinn, Estonia. The workshop was a one-day satellite event of ETAPS 2012, the 15th…

Logic in Computer Science · Computer Science 2012-11-16 Sandra Alves , Ian Mackie

Extrapolations in Euclidean time form a central part of Nuclear Lattice Effective Field Theory (NLEFT) calculations using the Projection Monte Carlo method, as the sign problem in many cases prevents simulations at large Euclidean time. We…

Nuclear Theory · Physics 2015-06-23 Timo A. Lähde , Evgeny Epelbaum , Hermann Krebs , Dean Lee , Ulf-G. Meißner , Gautam Rupak