|
|
Venues (Conferences, Journals, ...)
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 2316 occurrences of 1339 keywords
|
|
|
Results
Found 6795 publication records. Showing 6795 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
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 |
|
|
|