Search results for "kernels"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Zhiliang Huang, Zongsheng Jiang, Shuihong Zhou, Xiaoyan Zhang	On the Non-Approximate Successive Cancellation Decoding of Binary Polar Codes With Medium Kernels.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Pengyu Wang, Tao Ren 0002, Jiaxin Liu, Fanchun Meng, Xinliang Liu, Wei Liu	Neural Network Light Weighting Approach Using Multi-Metric Evaluation of Convolution Kernels.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Xiao Sun, Song Wang 0003, Jucheng Yang 0001, Feng Wei, Yuan Wang	Two-Stage Deep Single-Image Super-Resolution With Multiple Blur Kernels for Internet of Things.	IEEE Internet Things J.	2023	DBLP DOI BibTeX RDF
10	Wenyu Gao, Hang Gao	2k-Vertex Kernels for Cluster Deletion and Strong Triadic Closure.	J. Comput. Sci. Technol.	2023	DBLP DOI BibTeX RDF
10	Raúl Nozal, José Luis Bosque	Mashing load balancing algorithm to boost hybrid kernels in molecular dynamics simulations.	J. Supercomput.	2023	DBLP DOI BibTeX RDF
10	Guillermo Alaejos, Adrián Castelló 0001, Héctor Martínez, Pedro Alonso-Jordá, Francisco D. Igual, Enrique S. Quintana-Ortí	Micro-kernels for portable and efficient matrix multiplication in deep learning.	J. Supercomput.	2023	DBLP DOI BibTeX RDF
10	Zi-Yun Zheng, Yuan-Ming Wang	A second-order accurate Crank-Nicolson finite difference method on uniform meshes for nonlinear partial integro-differential equations with weakly singular kernels.	Math. Comput. Simul.	2023	DBLP DOI BibTeX RDF
10	Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu	Hyper-convolutions via implicit kernels for medical image analysis.	Medical Image Anal.	2023	DBLP DOI BibTeX RDF
10	Mohammed Ali, Hussain Al-Qassem	Estimates for Generalized Parabolic Marcinkiewicz Integrals with Rough Kernels on Product Domains.	Axioms	2023	DBLP DOI BibTeX RDF
10	Konstantin A. Rybakov	On Traces of Linear Operators with Symmetrized Volterra-Type Kernels.	Symmetry	2023	DBLP DOI BibTeX RDF
10	Igor Chollet, Xavier Claeys, Pierre Fortin 0001, Laura Grigori	A Directional Equispaced Interpolation-Based Fast Multipole Method for Oscillatory Kernels.	SIAM J. Sci. Comput.	2023	DBLP DOI BibTeX RDF
10	Lawqueen Kanesh, Jayakrishnan Madathil, Sanjukta Roy, Abhishek Sahu, Saket Saurabh 0001	Further Exploiting c-Closure for FPT Algorithms and Kernels for Domination Problems.	SIAM J. Discret. Math.	2023	DBLP DOI BibTeX RDF
10	Philippe Choné, Nathael Gozlan, Francis Kramarz	Weak Optimal Transport with Unnormalized Kernels.	SIAM J. Math. Anal.	2023	DBLP DOI BibTeX RDF
10	Jonathan Parkinson, Wei Wang 0051	Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Yan Xiang, Yu-Hang Tang, Guang Lin, Daniel Reker	Interpretable Molecular Property Predictions Using Marginalized Graph Kernels.	J. Chem. Inf. Model.	2023	DBLP DOI BibTeX RDF
10	Matthias Mayr, Alexander Popp	Scalable computational kernels for mortar finite element methods.	Eng. Comput.	2023	DBLP DOI BibTeX RDF
10	Özcan Çataltas, Kemal Tütüncü	Detection of protein, starch, oil, and moisture content of corn kernels using one-dimensional convolutional autoencoder and near-infrared spectroscopy.	PeerJ Comput. Sci.	2023	DBLP DOI BibTeX RDF
10	Christophe Gomez, Olivier Pinaud	A Monte Carlo method for 3D radiative transfer equations with multifractional singular kernels.	J. Comput. Phys.	2023	DBLP DOI BibTeX RDF
10	Hongyan Liu 0002, Yanying Ma, Hu Li, Wei Zhang	Combination of discrete technique on graded meshes with barycentric rational interpolation for solving a class of time-dependent partial integro-differential equations with weakly singular kernels.	Comput. Math. Appl.	2023	DBLP DOI BibTeX RDF
10	Tomohiro Koana, Christian Komusiewicz, Frank Sommer	Essentially Tight Kernels for (Weakly) Closed Graphs.	Algorithmica	2023	DBLP DOI BibTeX RDF
10	Ning Ni, Yongxin Zhu 0001	Enabling zero knowledge proof by accelerating zk-SNARK kernels on GPU.	J. Parallel Distributed Comput.	2023	DBLP DOI BibTeX RDF
10	Marcos Amaris, Raphael Y. de Camargo, Daniel Cordeiro, Alfredo Goldman, Denis Trystram	Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques.	J. Parallel Distributed Comput.	2023	DBLP DOI BibTeX RDF
10	Chuanchuan Chen, Dongrui Liu, Changqing Xu, Trieu-Kien Truong	SAKS: Sampling Adaptive Kernels From Subspace for Point Cloud Graph Convolution.	IEEE Trans. Circuits Syst. Video Technol.	2023	DBLP DOI BibTeX RDF
10	Young Kyu Choi, Yuze Chi, Jason Lau, Jason Cong	TARO: Automatic Optimization for Free-Running Kernels in FPGA High-Level Synthesis.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	DBLP DOI BibTeX RDF
10	Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu 0001	Learning local graph from multiple kernels.	Neurocomputing	2023	DBLP DOI BibTeX RDF
10	Hanchun Yuan, Qilong Feng, Jian-xin Wang 0001	Improved kernels for triangle packing in tournaments.	Sci. China Inf. Sci.	2023	DBLP DOI BibTeX RDF
10	Ruifeng Zheng, Kejie Huang, Haibin Shen, Liyuan Ma	Continuous Volumetric Convolution Network With Self-Learning Kernels for Point Clouds.	IEEE Trans. Consumer Electron.	2023	DBLP DOI BibTeX RDF
10	Zipeng Ye, Mengfei Xia, Ran Yi, Juyong Zhang, Yu-Kun Lai, Xuwei Huang, Guo-Xin Zhang, Yong-Jin Liu	Audio-Driven Talking Face Video Generation With Dynamic Convolution Kernels.	IEEE Trans. Multim.	2023	DBLP DOI BibTeX RDF
10	Tommaso Pegolotti, Elias Frantar, Dan Alistarh, Markus Püschel	QIGen: Generating Efficient Kernels for Quantized Inference on Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	M. R. A. Sakran	On the Approximate Solution of Integral Equations with Logarithmic Kernels Using the Third Kind of Chebyshev Polynomials.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhengqi Lin, Andrzej Ruszczynski	Fast Dual Subgradient Optimization of the Integrated Transportation Distance Between Stochastic Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Petr Dvorácek, Petr Hurtík, Petra Stevuliáková	Effective black box adversarial attack with handcrafted kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Elies Gil-Fuster, Jens Eisert, Vedran Dunjko	On the expressivity of embedding quantum kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alexander Moreno, Jonathan Mei, Luke Walters	SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jorge Marco-Blanco, Rubén Cuevas	Time Series Clustering With Random Convolutional Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alan Nawzad Amin, Eli Nathan Weinstein, Debora Susan Marks	Biological Sequence Kernels with Guaranteed Flexibility.	CoRR	2023	DBLP DOI BibTeX RDF
10	Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe	Comparing Foundation Models using Data Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Wenju Xu, Chengjiang Long, Yongwei Nie	Learning Dynamic Style Kernels for Artistic Style Transfer.	CoRR	2023	DBLP DOI BibTeX RDF
10	Johannes Hertrich, Christian Wald, Fabian Altekrüger, Paul Hagemann	Generative Sliced MMD Flows with Riesz Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhaohang Wang, Zhuoqi Liu, Shuaibin Gao, Junhao Hu	The randomized Milstein scheme for stochastic Volterra integral equations with weakly singular kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Praneeth Kacham, Vahab Mirrokni, Peilin Zhong	PolySketchFormer: Fast Transformers via Sketches for Polynomial Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Evangelos Georganas, Dhiraj D. Kalamkar, Kirill Voronin, Antonio Noack, Hans Pabst, Alexander Breuer, Alexander Heinecke	Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mohammad Khosravi, Roy S. Smith	Diagonally Square Root Integrable Kernels in System Identification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ayoub Belhadji	An analysis of Ermakov-Zolotukhin quadrature using kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sully F. Chen, Zhicheng Guo, Cheng Ding, Xiao Hu 0002, Cynthia Rudin	Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney	Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao, Avinava Dubey, Valerii Likhosherstov	Scalable Neural Network Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shaowu Chen, Weize Sun, Lei Huang, Xiaopeng Li, Qingyuan Wang 0002, Deepu John	P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Juhi Chaudhary, Harmender Gahlawat, Michal Wlodarczyk 0001, Meirav Zehavi	Kernels for the Disjoint Paths Problem on Subclasses of Chordal Graphs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang 0004, Xin Yu 0002, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman	Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Anant Mehta, Prajit Sengupta, Divisha Garg, Harpreet Singh, Yosi Shacham-Diamand	Benchmarking the Effectiveness of Classification Algorithms and SVM Kernels for Dry Beans.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tobia Filosi, Claudio Agostinelli, Emilio Porcu	Temporally-Evolving Generalised Networks and their Reproducing Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xuchen You, Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu 0001	Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Rafael Ravedutti Lucio Machado, Jan Eitzinger, Jan Laukemann, Georg Hager, Harald Köstler, Gerhard Wellein	MD-Bench: Engineering the in-core performance of short-range molecular dynamics kernels from state-of-the-art simulation packages.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri	Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator.	CoRR	2023	DBLP DOI BibTeX RDF
10	Marcus Michael Noack, Hengrui Luo, Mark D. Risser	A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes.	CoRR	2023	DBLP DOI BibTeX RDF
10	Louis Ledoux, Marc Casas	Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Randolph R. Settgast, Yohann Dudouit, Nicola Castelletto, William R. Tobin, Benjamin C. Corbett, Sergey Klevtsov	Performant low-order matrix-free finite element kernels on GPU architectures.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lixin Cui, Ming Li 0065, Yue Wang 0014, Lu Bai 0001, Edwin R. Hancock	AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dionissios T. Hristopulos	Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zhihe Zhao, Neiwen Ling, Nan Guan, Guoliang Xing	Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU.	CoRR	2023	DBLP DOI BibTeX RDF
10	Siran Li	Gaussian kernels on non-simply-connected closed Riemannian manifolds are never positive definite.	CoRR	2023	DBLP DOI BibTeX RDF
10	Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis 0002, Julia Kempe	Kernels, Data & Physics.	CoRR	2023	DBLP DOI BibTeX RDF
10	Rogier Brussee	Fuzzy Logic and Markov Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Valentin Volokitin, Evgeny Kozinov, Valentina Kustikova, Alexey Liniov, Iosif B. Meyerov	Case Study for Running Memory-Bound Kernels on RISC-V CPUs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Palle E. T. Jorgensen, Myung-Sin Song, James Tian	Operator theory, kernels, and Feedforward Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hélène Langlois, Frédéric Meunier, Romeo Rizzi, Stéphane Vialette	Quasi-kernels in split graphs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Volodymyr Denysiuk, Olena Hryshko	B-splines and kernels of trigonometric interpolation splines.	CoRR	2023	DBLP DOI BibTeX RDF
10	Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa	Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Volodymyr Denysiuk, Olena Hryshko	Generalization of Trigonometric B-splines and Kernels of Interpolating Trigonometric Splines with Riemann Convergence Multipliers.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yangjie Zhou 0001, Yaoxu Song, Jingwen Leng, Zihan Liu 0002, Weihao Cui, Zhendong Zhang 0004, Cong Guo 0003, Quan Chen 0002, Li Li 0012, Minyi Guo	AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas	Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images.	CoRR	2023	DBLP DOI BibTeX RDF
10	Luca Ambrogioni	Stationarity without mean reversion: Improper Gaussian process regression and improper kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aravind R. Krishnan, Kaiwen Xu, Thomas Z. Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman	Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens	Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jean-Daniel Boissonnat, Kunal Dutta	Dimensionality Reduction for Persistent Homology with Gaussian Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alexandre Kirchmeyer, Jia Deng	Convolutional Networks with Oriented 1D Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Gonzalo Uribarri, Federico Barone, Alessio Ansuini, Erik Fransén	Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Palle E. T. Jorgensen, Myung-Sin Song, James Tian	Conditional mean embeddings and optimal feature selection via positive definite kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Rätsch, Bernhard Schölkopf	Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said	Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach.	CoRR	2023	DBLP DOI BibTeX RDF
10	Cuiyun Lin, Tao Qian	Frequency Analysis with Multiple Kernels and Complete Dictionary.	CoRR	2023	DBLP DOI BibTeX RDF
10	Zehao Niu, Mihai Anitescu, Jie Chen 0007	Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Filippo Bigi, Sergey N. Pozdnyakov, Michele Ceriotti	Wigner kernels: body-ordered equivariant machine learning without a basis.	CoRR	2023	DBLP DOI BibTeX RDF
10	Thomas Markovich	QDC: Quantum Diffusion Convolution Kernels on Graphs.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yilin Yang, Kamil Adamczewski, Danica J. Sutherland, Xiaoxiao Li, Mijung Park	Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Krzysztof Choromanski	Taming graph kernels with random features.	CoRR	2023	DBLP DOI BibTeX RDF
10	Moritz Haas, David Holzmüller, Ulrike von Luxburg, Ingo Steinwart	Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension.	CoRR	2023	DBLP DOI BibTeX RDF
10	Grigorii Trofimiuk	Fast Search Method for Large Polarization Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Guanhang Lei, Lei Shi	Pairwise Ranking with Gaussian Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vikas Natesh, Andrew Sabot, H. T. Kung 0001, Mark Ting	Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hayfa Tayeb, Ludovic Paillat, Bérenger Bramas	Autovesk: Automatic vectorization of unstructured static kernels by graph transformations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sui Tang, Malik Tuerkoen, Hanming Zhou	On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mina Ashoury, Mohammad Loni, Farshad Khunjush, Masoud Daneshtalab	Auto-SpMV: Automated Optimizing SpMV Kernels on GPU.	CoRR	2023	DBLP DOI BibTeX RDF
10	Víctor Manuel Vargas, Riccardo Rosati 0002, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez	A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.	CoRR	2023	DBLP DOI BibTeX RDF
10	Pedro Valero-Lara, Alexis Huante, Mustafa Al-Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter	Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Diptapriyo Majumdar	Enumeration Kernels of Polynomial Size for Cuts of Bounded Degree.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said	Geometric Learning with Positively Decomposable Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Julio Alberto Silva Dias	Long-Term Hourly Scenario Generation for Correlated Wind and Solar Power combining Variational Autoencoders with Radial Basis Function Kernels.	CoRR	2023	DBLP DOI BibTeX RDF
10	Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana	Mapped Variably Scaled Kernels: Applications to Solar Imaging.	CoRR	2023	DBLP DOI BibTeX RDF