Relevant bibliographies by topics / Perturbation-Based methods

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Perturbation-Based methods'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Perturbation-Based methods"

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Hongxing, Li. "Fuzzy clustering methods based on perturbation." Fuzzy Sets and Systems 33, no. 3 (1989): 291–302. http://dx.doi.org/10.1016/0165-0114(89)90119-x.

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Martinelli, M., A. Dervieux, L. Hascoet, V. Pascual, and A. Belme. "AD-based perturbation methods for uncertainties and errors." International Journal of Engineering Systems Modelling and Simulation 2, no. 1/2 (2010): 65. http://dx.doi.org/10.1504/ijesms.2010.031872.

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San-Juan, Juan Félix, Montserrat San-Martín, Iván Pérez, and Rosario López. "Hybrid perturbation methods based on statistical time series models." Advances in Space Research 57, no. 8 (2016): 1641–51. http://dx.doi.org/10.1016/j.asr.2015.05.025.

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Chioua, Moncef, Bala Srinivasan, Michel Perrier, and Martin Guay. "EFFECT OF EXCITATION FREQUENCY IN PERTURBATION-BASED EXTREMUM SEEKING METHODS." IFAC Proceedings Volumes 40, no. 5 (2007): 123–28. http://dx.doi.org/10.3182/20070606-3-mx-2915.00019.

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Ivanovs, Maksims, Roberts Kadikis, and Kaspars Ozols. "Perturbation-based methods for explaining deep neural networks: A survey." Pattern Recognition Letters 150 (October 2021): 228–34. http://dx.doi.org/10.1016/j.patrec.2021.06.030.

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Liu, Song-Tao, and Yuesheng Xu. "Galerkin Methods Based on Hermite Splines for Singular Perturbation Problems." SIAM Journal on Numerical Analysis 43, no. 6 (2006): 2607–23. http://dx.doi.org/10.1137/040607411.

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El Mokhtari, Rachid, Jean-Marc Cadou, and Michel Potier-Ferry. "A two grid algorithm based on perturbation and homotopy methods." Comptes Rendus Mécanique 330, no. 12 (2002): 825–30. http://dx.doi.org/10.1016/s1631-0721(02)01548-6.

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Zhang, Yale, and J. Fraser Forbes. "Performance Analysis of Perturbation-Based Methods for Real-Time Optimization." Canadian Journal of Chemical Engineering 84, no. 2 (2008): 209–18. http://dx.doi.org/10.1002/cjce.5450840208.

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Li, Lan, Yong Hui He, and Bo Wang. "Comparison of Methods of Maximum Power Point Tracking of Photovoltaic Cells." Applied Mechanics and Materials 380-384 (August 2013): 3362–65. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3362.

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According to engineering mathematics model of solar photovoltaic cells, a simulation model of photovoltaic cells was established in Matlab. In view of problem that it is difficult to get higher tracking accuracy and response speed by use of perturbation and observation method which applied fixed perturbation step, the paper proposed an improved perturbation and observation method based on variable step. Through simulating photovoltaic cells control system, simulation curves of two kinds of methods of maximum power point tracking were compared. The simulation results show that the photovoltaic
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Cha, Philip D., and Austin Shin. "Perturbation Methods for the Eigencharacteristics of Symmetric and Asymmetric Systems." Shock and Vibration 2018 (October 17, 2018): 1–25. http://dx.doi.org/10.1155/2018/8609138.

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Dynamic analysis for a vibratory system typically begins with an evaluation of its eigencharacteristics. However, when design changes are introduced, the eigensolutions of the system change and thus must be recomputed. In this paper, three different methods based on the eigenvalue perturbation theory are introduced to analyze the effects of modifications without performing a potentially time-consuming and costly reanalysis. They will be referred to as the straightforward perturbation method, the incremental perturbation method, and the triple product method. In the straightforward perturbation
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Dissertations / Theses on the topic "Perturbation-Based methods"

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Khabir, Mohmed Hassan Mohmed. "Numerical singular perturbation approaches based on spline approximation methods for solving problems in computational finance." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7416_1320395978.

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Options are a special type of derivative securities because their values are derived from the value of some underlying security. Most options can be grouped into either of the two categories: European options which can be exercised only on the expiration date, and American options which can be exercised on or before the expiration date. American options are much harder to deal with than European ones. The reason being the optimal exercise policy of these options which led to free boundary problems. Ever since the seminal work of Black and Scholes [J. Pol. Econ. 81(3) (1973), 637-659], the diff
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Fukasaku, Kotaro. "Explorative study for stochastic failure analysis of a roughened bi-material interface: implementation of the size sensitivity based perturbation method." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41114.

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In our age in which the use of electronic devices is expanding all over the world, their reliability and miniaturization have become very crucial. The thesis is based on the study of one of the most frequent failure mechanisms in semiconductor packages, the delamination of interface or the separation of two bonded materials, in order to improve their adhesion and a fortiori the reliability of microelectronic devices. It focuses on the metal (-oxide) / polymer interfaces because they cover 95% of all existing interfaces. Since several years, research activities at mesoscopic scale (1-10µm) have
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Graf, Daniel [Verfasser], and Christian [Akademischer Betreuer] Ochsenfeld. "Development of efficient electronic-structure methods based on the adiabatic-connection fluctuation-dissipation theorem and Møller–Plesset perturbation theory / Daniel Graf ; Betreuer: Christian Ochsenfeld." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021. http://d-nb.info/123217629X/34.

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Jue, Stephen Gregory. "Characterizing Neurotransmitter Receptor Activation with a Perturbation Based Decomposition Method." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1631.

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The characterization of postsynaptic potentials, in terms of neurotransmitter receptor activation, is of clinical significance because information associated with receptor activation can be used in the diagnosis and study of neurological disorders. Single-unit recordings provide a method of measuring postsynaptic potentials in neurons using a microelectrode system, but yield no detailed information regarding the neurotransmitter receptors that contribute to the potential. To determine the types of neurotransmitter receptors that result in a compound postsynaptic potential from a microelectrode
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Ben, Gamra Siwar. "Contribution à la mise en place de réseaux profonds pour l'étude de tableaux par le biais de l'explicabilité : Application au style Tenebrisme ("clair-obscur")." Electronic Thesis or Diss., Littoral, 2023. http://www.theses.fr/2023DUNK0695.

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La détection de visages à partir des images picturales du style clair-obscur suscite un intérêt croissant chez les historiens de l'art et les chercheurs afin d'estimer l'emplacement de l'illuminant et ainsi répondre à plusieurs questions techniques. L'apprentissage profond suscite un intérêt croissant en raison de ses excellentes performances. Une optimisation du Réseau "Faster Region-based Convolutional Neural Network" a démontré sa capacité à relever efficacement les défis et à fournir des résultats prometteurs en matière de détection de visages à partir des images clai-obscur. Cependant, ce
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Al, Hosani Mohamed. "Transient and Distributed Algorithms to Improve Islanding Detection Capability of Inverter Based Distributed Generation." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6235.

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Recently, a lot of research work has been dedicated toward enhancing performance, reliability and integrity of distributed energy resources that are integrated into distribution networks. The problem of islanding detection and islanding prevention (i.e. anti-islanding) has stimulated a lot of research due to its role in severely compromising the safety of working personnel and resulting in equipment damages. Various Islanding Detection Methods (IDMs) have been developed within the last ten years in anticipation of the tremendous increase in the penetration of Distributed Generation (DG) in dis
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Dixit, Akash. "Damage modeling and damage detection for structures using a perturbation method." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43575.

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This thesis is about using structural-dynamics based methods to address the existing challenges in the field of Structural Health Monitoring (SHM). Particularly, new structural-dynamics based methods are presented, to model areas of damage, to do damage diagnosis and to estimate and predict the sensitivity of structural vibration properties like natural frequencies to the presence of damage. Towards these objectives, a general analytical procedure, which yields nth-order expressions governing mode shapes and natural frequencies and for damaged elastic structures such as rods, beams, plates an
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Wang, Yiwei. "Développement de stratégies de maintenance structurales prédictives pour aéronefs utilisant le pronostic à base de modèles." Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0005/document.

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La maintenance aéronautique est fortement régulée, notamment à travers l’établissement d’un planning de maintenance obligatoire, permettant de garantir la sureté structurale. La fréquence des arrêts en maintenance est déterminée de manière très conservative en vue d’assurer les exigences de fiabilité. Développer des stratégies de maintenance moins conservatives et plus efficaces peut alors représenter une voie pour une nouvelle croissance des compagnies aériennes. Les systèmes de monitoring embarqué de structures, sont progressivement introduits dans l’industrie aéronautique. Ces développement
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Abid, Fatma. "Contribution à la robustesse et à l'optimisation fiabiliste des structures Uncertainty of shape memory alloy micro-actuator using generalized polynomial chaos methodUncertainty of shape memory alloy micro-actuator using generalized polynomial chaos method Numerical modeling of shape memory alloy problem in presence of perturbation : application to Cu-Al-Zn-Mn specimen An approach for the reliability-based design optimization of shape memory alloy structure Surrogate models for uncertainty analysis of micro-actuator." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMIR24.

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La conception des ouvrages économiques a suscité de nombreux progrès dans les domaines de la modélisation et de l’optimisation, permettant l’analyse de structures de plus en plus complexes. Cependant, les conceptions optimisées sans considérer les incertitudes des paramètres, peuvent ne pas respecter certains critères de fiabilité. Pour assurer le bon fonctionnement de la structure, il est important de prendre en considération l’incertitude dès la phase de conception. Il existe plusieurs théories dans la littérature pour traiter les incertitudes. La théorie de la fiabilité des structures consi
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Wu, Chia-Pin, and 吳佳斌. "Using Singular Perturbation Methods in Observer-based Controller Design." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/88637893484414157491.

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博士<br>國立臺灣科技大學<br>電機工程系<br>100<br>The thesis is mainly to design the controller by applying the theory of singular perturbation. First of all, using the singular perturbation technique to design the output feedback controller of mechanic systems, it is similar to the design of a proportional-derivative control law. We can precede the speed control by only measuring the displacement. The controller algorithm is the rule of low-order dynamic output feedback control. It is simple and easily accomplished. Besides, when the mechanical system contains uncertain items, this thesis presents robust sta
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Book chapters on the topic "Perturbation-Based methods"

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Moura, Ana S., and M. Natália D. S. Cordeiro. "Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticle Ecotoxicity." In Methods in Pharmacology and Toxicology. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0150-1_9.

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Goffart, Nicolas, Benoît Tartinville, and Sergio Pirozzoli. "From High-Fidelity High-Order to Reduced-Order Modeling for Unsteady Shock Wave/Boundary Layer Interactions." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86605-0_2.

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Abstract To design the next-generation aircraft and engines, efficient numerical tools need to be developed. Shock wave/boundary layer interactions are indeed putting the current industrial methods to the test: high-order methods lack robustness while modeling assumptions in low-fidelity methods make them not accurate enough. This work presents the first steps toward improving turbulence modeling in harmonic methods for shock-induced separated flows in turbomachinery applications, using high-fidelity data. A high-order solver based on the flux reconstruction framework is employed for performin
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Nakatani, Naoki, Jia-Jia Zheng, and Shigeyoshi Sakaki. "Approach of Electronic Structure Calculations to Crystal." In The Materials Research Society Series. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0260-6_11.

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AbstractNowadays, the importance of molecular crystals and solids with regular structures is increasing in both basic chemistry and applied fields. However, theoretical studies of those systems based on electronic structure theories have been limited. Although density functional theory (DFT) calculations using generalized gradient approximation type functional under periodic boundary condition is effective for such theoretical studies, we need some improvements for calculating the dispersion interaction and the excited state of crystals. Accordingly, in this chapter, two methods for calculatin
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Romanazzi, Mario. "Perturbation Properties of Depth Regions." In Statistical Data Analysis Based on the L1-Norm and Related Methods. Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8201-9_25.

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Wu, Haoze, Aleksandar Zeljić, Guy Katz, and Clark Barrett. "Efficient Neural Network Analysis with Sum-of-Infeasibilities." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99524-9_8.

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AbstractInspired by sum-of-infeasibilities methods in convex optimization, we propose a novel procedure for analyzing verification queries on neural networks with piecewise-linear activation functions. Given a convex relaxation which over-approximates the non-convex activation functions, we encode the violations of activation functions as a cost function and optimize it with respect to the convex relaxation. The cost function, referred to as the Sum-of-Infeasibilities (SoI), is designed so that its minimum is zero and achieved only if all the activation functions are satisfied. We propose a st
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Huynh, T. V. "A Perturbation Technique Based on the Integral Variation Method." In Stability of the Solar System and Its Minor Natural and Artificial Bodies. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5398-7_46.

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Yang, Xinyue, Hai Huang, and Xingquan Zuo. "Random Mask Perturbation Based Explainable Method of Graph Neural Networks." In Advances in Knowledge Discovery and Data Mining. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2259-4_2.

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Vyatkin, Sergey, Alexander Romanyuk, Sergey Pavlov, and Oksana Romanyuk. "Identification of Persons Using Stereo Image Pairs and Perturbation Functions." In Biometric Identification Technologies Based on Modern Data Mining Methods. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48378-4_8.

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Mori, M., and O. Ukai. "Design Sensitivity Analysis Based on Successive Perturbation Method and its Application." In Computational Mechanics ’88. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61381-4_465.

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Shi, Ting C., Zhan F. Ying, Tian Y. Yuan, Yun J. Cheng, and Jia X. Lin. "A Maximum Power Point Tracking Strategy Based on Perturbation Observation Method." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8048-2_306.

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Conference papers on the topic "Perturbation-Based methods"

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Lu, Yuhang, and Touradj Ebrahimi. "Improving perturbation-based explanation methods with application to face recognition." In Applications of Digital Image Processing XLVII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2024. http://dx.doi.org/10.1117/12.3030872.

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De Paolis, Niccolò, and Paolo Milazzo. "Towards a New Method for Perturbation Analysis in Biochemical Pathways Based on Network Propagation." In 16th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013384200003911.

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Umerenkova, Ksenia, Olexandr Kondratenko, Hanna Koloskova, Olha Lytvynenko, and Vitalii Borysenko. "Using of Hydrogen Sorbtion Storing Technology Based on Metal Hydrides for Cooling of High-Power Electric Generators with Steam Turbines." In International Scientific Applied Conference "Problems of Emergency Situations". Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-m1k2ya.

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The article analyzes the cooling systems that have become stuck during the operation of high-power electric machines, the importance of using water-cooling systems for them has been dubbed. The main part of the research is devoted to the consideration of nutritional and detailed methods of rational cooling of turbogenerators based on the use of innovative environment protection technologies, namely metal hydride hydrogen storage technologies as an environmentally friendly alternative to motor fuel. It is shown that an alternative to the traditionally used devices for cooling of electric machin
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Aboelnour, Mohamed, and Sebastian Engell. "Perturbation Methods for Modifier Adaptation with Quadratic Approximation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.135520.

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Real-time optimization (RTO) is a model-based technique that drives plants to optimal operating conditions. Modifier Adaptation (MA) is a class of methods that adjusts the optimization problem using gradient information. This enables the plant to reach the optimum operating point or batch trajectory without the need of a precise model which reduces the necessary modeling efforts. However, computing the gradients of the cost function or of the plant outputs with respect to the inputs online is a challenging task. Modifier Adaptation with Quadratic Approximation (MAWQA) integrates MA with Quadra
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Zhao, Zhao, and Roberto Leidhold. "Speed as Perturbation in Anisotropy Based Sensorless Control Methods." In 2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia). IEEE, 2023. http://dx.doi.org/10.23919/icpe2023-ecceasia54778.2023.10213792.

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Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation based Privacy Attacks on Language Models." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.842.

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Ding, D. Y. "Improving Perturbation Designs for Gradient-based Optimization Methods in History Matching." In 12th European Conference on the Mathematics of Oil Recovery. EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20144995.

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Vu, Minh N., and My T. Thai. "Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks." In 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 2023. http://dx.doi.org/10.1109/icdm58522.2023.00071.

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Yang, Xixi, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, and Xiangxiang Zeng. "GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/549.

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Optimizing molecules with desired properties is a crucial step in de novo drug design. While translation-based methods have achieved initial success, they continue to face the challenge of the “exposure bias” problem. The challenge of preventing the “exposure bias” problem of molecule optimization lies in the need for both positive and negative molecules of contrastive learning. That is because generating positive molecules through data augmentation requires domain-specific knowledge, and randomly sampled negative molecules are easily distinguished from the real molecules. Hence, in this work,
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Chen, Lichang, Jiuhai Chen, Heng Huang, and Minhao Cheng. "PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.833.

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