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2024 Commit2data, C2D 2024

作者： van Jaarsveld, Willem Bliek, Laurens de Weerdt, Mathijs Kapodistria, Stella Pronk, Verus Verleijsdonk, Peter Voorberg, Simon Akçay, Alp da Costa, Paulo Eshuis, Rik Kaymak, Uzay van Houtum, Geert-Jan Verwer, Sicco Zhang, Yingqian Department of Industrial Engineering and Innovation Sciences Eindhoven University of Technology Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands Philips Research Laboratories Eindhoven Netherlands Department of Information Systems Supply Chain Management and Decision Analysis NEOMA Business School Rouen France Etsy Inc. Dublin Ireland Jheronimus Academy of Data Science Eindhoven University of Technology Netherlands

ISBN: (纸本)9783959773515

The project "Real-time data-driven maintenance logistics" was initiated with the purpose of bringing innovations in data-driven decision making to maintenance logistics, by bringing problem owners in the form of three innovative companies together with researchers at two leading knowledge institutions. This paper reviews innovations in three related areas: How the innovations were inspired by practice, how they materialized, and how the results impact practice. © Willem van Jaarsveld, Alp Akçay, Laurens Bliek, Paulo da Costa, Mathijs de Weerdt, Rik Eshuis, Stella Kapodistria, Uzay Kaymak, Verus Pronk, Geert-Jan van Houtum, Peter Verleijsdonk, Sicco Verwer, Simon Voorberg, and Yingqian Zhang.

关键词： Scheduled maintenance

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Sound Field Estimation in Region Including Scattering Objects based on Kernel Interpolation: Evaluation for Various Scatterers

Sound Field Estimation in Region Including Scattering Object...

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International Workshop on Acoustic Signal Enhancement (IWAENC)

作者： Shihori Kozuka Shoichi Koyama Hiroaki Itou Noriyoshi Kamado NTT Computer and Data Science Laboratories NTT Corporation Japan Digital Content and Media Sciences Research Division National Institute of Informatics Japan

ISBN: (数字)9798350361858

ISBN: (纸本)9798350361865

A method for estimating the incident sound field in a region containing scattering objects is extensively evaluated for various scatterers. Estimating a sound field using multiple microphones has a wide variety of applications, e.g., spatial audio capturing and spatial active noise control. Most current methods do not allow the inclusion of any scattering objects or allow only the inclusion of scattering objects of known properties. An incident sound field estimation method in a region including scattering objects of unknown properties has recently been proposed, which has high practical potential in the above-mentioned applications. However, its experimental evaluation is limited to a simple rigid spherical object even though various types of scatterers can be present in practical situations. We evaluate the incident sound field estimation method for various types of scatters in numerical simulations using the boundary element method. Experimental results indicated that the appropriate design of the weighting matrix for expansion coefficients can further improve the estimation accuracy.

关键词： Shape Conferences Spatial audio Noise Scattering Estimation Numerical simulation Wave functions Kernel Microphones

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COVARIANCE-AWARE FEATURE ALIGNMENT WITH PRE-COMPUTED SOURCE STATISTICS FOR TEST-TIME ADAPTATION TO MULTIPLE IMAGE CORRUPTIONS

arXiv

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arXiv 2022年

作者： Adachi, Kazuki Yamaguchi, Shin'ya Kumagai, Atsutoshi NTT Computer and Data Science Laboratories Japan Kyoto University Japan

Real-world image recognition systems often face corrupted input images, which cause distribution shifts and degrade the performance of models. These systems often use a single prediction model in a central server and process images sent from various environments, such as cameras distributed in cities or cars. Such single models face images corrupted in heterogeneous ways in test time. Thus, they require to instantly adapt to the multiple corruptions during testing rather than being re-trained at a high cost. Test-time adaptation (TTA), which aims to adapt models without accessing the training dataset, is one of the settings that can address this problem. Existing TTA methods indeed work well on a single corruption. However, the adaptation ability is limited when multiple types of corruption occur, which is more realistic. We hypothesize this is because the distribution shift is more complicated, and the adaptation becomes more difficult in case of multiple corruptions. In fact, we experimentally found that a larger distribution gap remains after TTA. To address the distribution gap during testing, we propose a novel TTA method named Covariance-Aware Feature alignment (CAFe). We empirically show that CAFe outperforms prior TTA methods on image corruptions, including multiple types of corruptions. Copyright © 2022, The Authors. All rights reserved.

关键词： Crime

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Quantum Circuit Fragments: Efficient and Verifiable Format for Quantum Circuits

Quantum Circuit Fragments: Efficient and Verifiable Format f...

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Quantum Computing and Engineering (QCE), IEEE International Conference on

作者： Rei Tokami Yasunari Suzuki Yuuki Tokunaga Department of Applied Physics Graduate School of Engineering The University of Tokyo Tokyo Japan Computer and Data Science Laboratories Nippon Telegraph and Telephone Tokyo Japan

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

An efficient and intuitive format of quantum programs is an indispensable component to handle large-scale quantum computers. Representing and manipulating a sequence of quantum instructions as a network of quantum gates, i.e., quantum circuits, is one of the most successful approaches. Quantum circuits are intuitive since there are similar representations in classical engineering, such as electric or digital circuits. However, due to their differences from these classical circuits, naively automated manipulation and optimization for quantum circuit networks easily tend to an ill-defined format. To avoid this problem, a flexible and verifiable network format of quantum circuits is strongly demanded. In this extended poster abstract, we propose a representation with these properties, named quantum circuit fragments. In our representation, the connectivity of several types of wires in quantum circuits, qubit, control, and measurement-feedback wiring, are kept as three sets. We also provide a linear time algorithm to validate that our format can be converted to quantum circuits. Using our preliminary software to treat quantum circuit fragments, Q-Divide, we demonstrated that code complexity can be halved in practical cases. Thus, our work improves the efficiency of quantum computer development and motivates further exploration for efficient representation and manipulation of large-scale quantum programs.

关键词： computers Wiring Quantum computing Codes Systematics Wires Logic gates Software Complexity theory Quantum circuit

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Standardization Trends Related to Application- and Service-related Technologies

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NTT Technical Review 2024年第1期22卷 43-49页

作者： Sugimoto, Shiori Nagao, Jiro Yasuda, Kan Kikuchi, Ryo Ichikawa, Atsunori NTT Computer and Data Science Laboratories Japan Research and Development Planning Department Research and Development Market Strategy Division NTT Corporation Japan Cryptography Research Group Information Security Technology Project NTT Social Informatics Laboratories Japan NTT Social Informatics Laboratories Japan

This article describes the standardization trends in the International Organization for Standardization/ International Electrotechnical Commission Joint Technical Committee 1 (ISO/IEC JTC 1)/Subcommit-tee 29 (SC 29), and International Telecommunication Union - Telecommunication Standardization Sector (ITU-T) Study Group 16 (SG16) as well as ISO/IEC JTC 1/SC 27 and ITU-T SG17. Both SC 29 and SG16 deal with multimedia coding and transmission and are shaping the future of entertainment and business communication. Both SC 27 and SG17 work on standardization related to information security and communication security and are helping to strengthen the reliability and privacy protection of the rapidly evolving digital society. © 2024 Nippon Telegraph and Telephone Corp.. All rights reserved.

关键词： Standardization

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Circuit designs for practical-scale fault-tolerant quantum computing

Circuit designs for practical-scale fault-tolerant quantum c...

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2023 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2023

作者： Suzuki, Yasunari Ueno, Yosuke Liao, Wang Tanaka, Masamitsu Tanimoto, Teruo Ntt Computer & Data Science Laboratories Tokyo Musashino Japan Jst Resto Kawaguchi Saitama Japan Keio University Kanagawa Yokohama Japan The University of Tokyo Bunkyo-ku Tokyo Japan Nagoya University Aichi Nagoya Japan Kyushu University Fukuoka Japan

ISBN: (纸本)9784863488069

To demonstrate reliable and scalable quantum computation, we need quantum error correction to reduce its error rates. One of the most challenging parts of implementing quantum error correction is to design error-decoding units, which estimate errors during computation. We estimate the required performances of error-decoding units to run practical-scale quantum algorithms and discuss the directions to satisfy them. © 2023 JSAP.

关键词： Quantum computers

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Finding Contributable Activities Using Non-Verb Attributes In Events 27

Finding Contributable Activities Using Non-Verb Attributes I...

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Kaiya, Haruhiko Takeuchi, Hironori Nakagawa, Hiroyuki Ogata, Shinpei Saito, Shinobu Kanagawa University Yokohama221-8686 Japan Musashi University Tokyo176-8534 Japan Osaka University Osaka565-0871 Japan Shinshu University Nagano380-8553 Japan NTT Computer and Data Science Laboratories Tokyo108-0023 Japan

Many different activities are performed simultaneously in the real world, and one of them contains actions, that can be utilized in another activity. If such actions are actually utilized, the activity utilizing them become more efficiently than ever. We call the activity providing such actions a contributable activity, and the one utilizing the actions a contributed activity. Our research goal is to find such contribution relationships between activities. To achieve the goal, we used a conformance checking technique in the field of process mining research. In the process mining research, logs of actions and control flow models are used, and the logs and the models are usually represented by the verb attribute in an action such as "submit", "decide" and so on. However, we could not find some contribution relationships by using the logs and models of the verb attribute. We thus examine the usage of non-verb attributes such as a place or a tool in an action for our goal. Through a case study about elderly people care, we find non-verb attributes have some potential to achieve our goal more comprehensively than ever. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Conformance checking Non-verb attributes in a log Process mining

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Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation

Interpretable Skill Learning for Dynamic Treatment Regimes t...

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Annual Conference on Information sciences and Systems (CISS)

作者： Yushan Jiang Wenchao Yu Dongjin Song Wei Cheng Haifeng Chen Department of Computer Science and Engineering University of Connecticut Storrs CT USA NEC Laboratories American Data Science & System Security Princeton NJ USA

Imitation learning that mimics experts' skills from their demonstrations has shown great success in discovering dynamic treatment regimes, i.e., the optimal decision rules to treat an individual patient based on related evolving treatment and covariate history. Existing imitation learning methods, however, still lack the capability to interpret the underlying rationales of the learned policy in a faithful way. Moreover, since dynamic treatment regimes for patients often exhibit varying patterns, i.e., symptoms that transit from one to another, the flat policy learned by a vanilla imitation learning method is typically undesired. To this end, we propose an Interpretable Skill Learning (ISL) framework to resolve the aforementioned challenges for dynamic treatment regimes through imitation. The key idea is to model each segment of experts' demonstrations with a prototype layer and integrate it with the imitation learning layer to enhance the interpretation capability. On one hand, the ISL framework is able to provide interpretable explanations by matching the prototype to exemplar segments during the inference stage, which enables doctors to perform reasoning of the learned demonstrations based on human-understandable patient symptoms and lab results. On the other hand, the obtained skill embedding consisting of prototypes serves as conditional information to the imitation learning layer, which implicitly guides the policy network to provide a more accurate demonstration when the patients' state switches from one stage to another. Thoroughly empirical studies demonstrate that our proposed ISL technique can achieve better performance than state-of-the-art methods. Moreover, the proposed ISL framework also exhibits good interpretability which cannot be observed in existing methods.

关键词： Learning systems Visualization MIMICs Decision making Prototypes Medical services Cognition

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Edit and Alphabet-Ordering Sensitivity of Lex-parse

arXiv

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arXiv 2024年

作者： Nakashima, Yuto Köppl, Dominik Funakoshi, Mitsuru Inenaga, Shunsuke Bannai, Hideo Department of Informatics Kyushu University Japan Department of Computer Science and Engineering University of Yamanashi Japan NTT Communication Science Laboratories M&D Data Science Center Tokyo Medical and Dental University Japan

We investigate the compression sensitivity [Akagi et al., 2023] of lex-parse [Navarro et al., 2021] for two operations: (1) single character edit and (2) modification of the alphabet ordering, and give tight upper and lower bounds for both operations. For both lower bounds, we use the family of Fibonacci words. For the bounds on edit operations, our analysis makes heavy use of properties of the Lyndon factorization of Fibonacci words to characterize the structure of lex-parse. © 2024, CC BY.

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Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks

arXiv

引用

arXiv 2022年

作者： Chijiwa, Daiki Yamaguchi, Shin'ya Kumagai, Atsutoshi Ida, Yasutoshi NTT Computer and Data Science Laboratories NTT Corporation Japan Kyoto University Japan

Few-shot learning for neural networks (NNs) is an important problem that aims to train NNs with a few data. The main challenge is how to avoid overfitting since over-parameterized NNs can easily overfit to such small dataset. Previous work (e.g. MAML by Finn et al. 2017) tackles this challenge by meta-learning, which learns how to learn from a few data by using various tasks. On the other hand, one conventional approach to avoid overfitting is restricting hypothesis spaces by endowing sparse NN structures like convolution layers in computer vision. However, although such manually-designed sparse structures are sample-efficient for sufficiently large datasets, they are still insufficient for few-shot learning. Then the following questions naturally arise: (1) Can we find sparse structures effective for few-shot learning by meta-learning? (2) What benefits will it bring in terms of meta-generalization? In this work, we propose a novel meta-learning approach, called Meta-ticket, to find optimal sparse subnetworks for few-shot learning within randomly initialized NNs. We empirically validated that Meta-ticket successfully discover sparse subnetworks that can learn specialized features for each given task. Due to this task-wise adaptation ability, Meta-ticket achieves superior meta-generalization compared to MAML-based methods especially with large NNs. Copyright © 2022, The Authors. All rights reserved.

关键词： Large dataset

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