Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Voynov A., Babenko A.
Vol. 119. , PMLR, 2020
Tradeoff search methods between interpretability and accuracy of the identification fuzzy systems based on rules
, , , Pattern Recognition and Image Analysis 2021 Vol. 2 No. 27 P. 243-265
This paper starts a brief historical overview of occurrence and development of fuzzy systems and their applications. Integration methods are proposed to construct a fuzzy system using other AI methods, achieving synergy effect. Accuracy and interpretability are selected as main properties of rule-based fuzzy systems. The tradeoff between interpretability and accuracy is considered to be ...
Added: September 27, 2021
, , et al., Journal of Industrial Information Integration 2021 Vol. 23 Article 100216
Automated early process fault detection and prediction remains a challenging problem in industrial processes. Traditionally it has been done by multivariate statistical analysis of sensor readings and, more recently, with the help of machine learning methods. The quality of machine learning models strongly depends on feature engineering, that in turn heavily relies on expertise of ...
Added: March 21, 2021
, , Journal of Physics: Conference Series 2020 P. 1-7
In this work, we propose an approach for electromagnetic shower generation on a track level. Currently, Monte Carlo simulation occupies 50-70\% of total computing resources that are used by physicists experiments worldwide. Thus, speedup of the simulation step allows to reduce simulation cost and accelerate synthetic experiments. In this paper, we suggest dividing the problem of ...
Added: October 31, 2019
, , , in : Proceedings of the 42nd German Conference on Artificial Intelligence (KI 2019), Kassel, Germany, September 23-26, 2019. : Springer, 2019. P. 316-324.
2D path planning in static environment is a well-known problem and one of the common ways to solve it is to (1) represent the environment as a grid and (2) perform a heuristic search for a path on it. At the same time 2D grid resembles much a digital image, thus an appealing idea comes ...
Added: February 3, 2020
Fast simulation of the electromagnetic calorimeter response using Self-Attention Generative Adversarial Networks
, , , in : EPJ Web of Conferences. Vol. 251: 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021).: EDP Sciences, 2021. Ch. 03043.
Added: September 14, 2021
, , , in : Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers. Vol. 12602.: Springer, 2021. P. 230-242.
Manga colorization is time-consuming and hard to automate. In this paper, we propose a conditional adversarial deep learning approach for semi-automatic manga images colorization. The system directly maps a tuple of grayscale manga page image and sparse color hint constructed by the user to an output colorization. High-quality colorization can be obtained in a fully ...
Added: April 9, 2021
, , , in : Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS). : NY : IEEE, 2019. P. 1-6.
The progress of deep learning models in image and video processing leads to new artificial intelligence applications in Fashion industry. We consider the application of Generative Adversarial Networks and Neural Style Transfer for Digital Fashion presented as Virtual fashion for trying new clothes. Our model generate humans in clothes with respect to different fashion preferences, ...
Added: July 29, 2019
, , et al., Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 2020 Vol. 952 No. 0168-9002 P. 161804
We propose a way to simulate Cherenkov detector response using a generative adversarial neural network to bypass low-level details. This network is trained to reproduce high level features of the simulated detector events based on input observables of incident particles. This allows the dramatic increase of simulation speed. We demonstrate that this approach provides simulation ...
Added: February 11, 2019
, , Lecture Notes in Computer Science 2019 Vol. 11832 P. 81-93
Theoretical analysis in  suggested that adversarially trained generative models are naturally inclined to learn distribution with low support. In particular, this effect is caused by the limited capacity of the discriminator network. To verify this claim,  proposed a statistical test based on the birthday paradox that partially confirmed the analysis. In this paper, ...
Added: April 23, 2020
Simulating the time projection chamber responses at the MPD detector using generative adversarial networks
, , et al., The European Physical Journal C - Particles and Fields 2021 Vol. 81 Article 599
High energy physics experiments rely heavily on the detailed detector simulation models in many tasks. Running these detailed models typically requires a notable amount of the computing time available to the experiments. In this work, we demonstrate a new approach to speed up the simulation of the Time Projection Chamber tracker of the MPD experiment at ...
Added: July 12, 2021
, , et al., Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 2019
Added: July 11, 2019
, , et al., / Cornell University. Series arXiv "math". 2021.
The training of Generative Adversarial Networks (GANs) requires a large amount of data, stimulating the development of new data augmentation methods to alleviate the challenge. Oftentimes, these methods either fail to produce enough new data or expand the dataset beyond the original knowledge domain. In this paper, we propose a new way of representing the ...
Added: October 14, 2021
, , in : Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers. Vol. 10716.: Cham : Springer, 2018. Ch. 11. P. 116-128.
Consider a continuous word embedding model. Usually, the cosines between word vectors are used as a measure of similarity of words. These cosines do not change under orthogonal transformations of the embedding space. We demonstrate that, using some canonical orthogonal transformations from SVD, it is possible both to increase the meaning of some components and ...
Added: November 26, 2017
, , et al., Journal of Physics: Conference Series 2020 Vol. 1525 No. 012097 P. 1-6
The increasing luminosities of future Large Hadron Collider runs and next generation of collider experiments will require an unprecedented amount of simulated events to be produced. Such large scale productions are extremely demanding in terms of computing resources. Thus new approaches to event generation and simulation of detector responses are needed. In LHCb, the accurate ...
Added: July 27, 2020
, , et al., , in : Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2020). Vol. 4.: SciTePress, 2020. P. 214-221.
We propose a novel multi-texture synthesis model based on generative adversarial networks (GANs) with a user-controllable mechanism. The user control ability allows to explicitly specify the texture which should be generated by the model. This property follows from using an encoder part which learns a latent representation for each texture from the dataset. To ensure ...
Added: November 8, 2020