• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 370 matches

• 2025
• 
  Kuan-Yu Chen, Chi-Sheng Yang, Yu-Hsiu Sun, Chien-Wei Tseng, Morteza Fayazi, Xin He, Siying Feng, Yufan Yue, Trevor N. Mudge, Ronald G. Dreslinski, Hun-Seok Kim, David T. Blaauw:
  DAP: A 507-GMACs/J 256-Core Domain Adaptive Processor for Wireless Communication and Linear Algebra Kernels in 12-nm FINFET. IEEE J. Solid State Circuits 60(2): 672-684 (2025)
• 
  David Kohan Marzagão, Trung Dong Huynh, Ayah Helal, Sean Baccas, Luc Moreau:
  Provenance Graph Kernel. IEEE Trans. Knowl. Data Eng. 37(6): 3653-3668 (2025)
• 
  Rohit Ram, Emma Thomas, David Kernot, Marian-Andrei Rizoiu:
  Practical Guidelines for Ideology Detection Pipelines and Psychosocial Applications. ICWSM 2025: 1630-1648
• 
  Dibakar Gope, David Mansell, Danny Loh, Ian Bratt:
  Highly Optimized Kernels and Fine-Grained Codebooks for LLM Inference on Arm CPUs. CoRR abs/2501.00032 (2025)
• 
  Mathys Jam, Eric Petit, Pablo de Oliveira Castro, David Defour, Greg Henry, William Jalby:
  MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning. CoRR abs/2501.05811 (2025)
• 
  Abhishek Kaushik, Sargam Yadav, Andrew Browne, David Lillis, David Williams, Jack Mc Donnell, Peadar Grant, Siobhan Connolly Kernan, Shubham Sharma, Mansi Arora:
  Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis. CoRR abs/2501.10134 (2025)
• 
  David Oro, Carles Fernández, Xavier Martorell, Javier Hernando:
  Work-Efficient Parallel Non-Maximum Suppression Kernels. CoRR abs/2502.00535 (2025)
• 
  Noa Rubin, Kirsten Fischer, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias:
  From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning. CoRR abs/2502.03210 (2025)
• 
  Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R. Green, Evan Shelhamer, Hannah Kerner, David Rolnick:
  Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models. CoRR abs/2502.09356 (2025)
• 
  Maxime Henri Aspros, Juan Sapriza, Giovanni Ansaloni, David Atienza:
  A flexible framework for early power and timing comparison of time-multiplexed CGRA kernel executions. CoRR abs/2504.01672 (2025)
• 
  Marco Baldi, Michele Battagliola, Rahmi El Mechri, Paolo Santini, Riccardo Schiavoni, Davide De Zuane:
  SPECK: Signatures from Permutation Equivalence of Codes and Kernels. IACR Cryptol. ePrint Arch. 2025: 923 (2025)
• 2024
• 
  Cecilia Engels, Jori Kern, Zdenka Dudová, Noemi Deppenwiese, Alexander Kiel, Björn Kroll, Tobias Kussel, Christina Schüttler, Radovan Tomásik, Michael Hummel, Martin Breu, David Croft, Christoph Dolch, Petra Duhm-Harbeck, Lars Ebert, Cäcilia Engels, Ann-Kristin Kock-Schoppenhauer, John Linde, Christian Maier, Michael Neumann, Matthias Öfelein, Matthias Rambow, Susanne Sahr, Florian Stampe, Deniz Tas, Hannes Ulrich, Martin Lablans, Hans-Ulrich Prokosch:
  The sample locator: A federated search tool for biosamples and associated data in Europe using HL7 FHIR. Comput. Biol. Medicine 180: 108941 (2024)
• 
  David Dekker, Bart M. P. Jansen:
  Kernelization for feedback vertex set via elimination distance to a forest. Discret. Appl. Math. 346: 192-214 (2024)
• 
  Mengqi Zhang, Matthias Treder, David Marshall, Yuhua Li:
  Explaining the predictions of kernel SVM models for neuroimaging data analysis. Expert Syst. Appl. 251: 123993 (2024)
• 
  David Gómez Guillén, Mireia Diaz, Josep Lluís Arcos, Jesús Cerquides:
  Bayesian Optimization with Additive Kernels for a Stepwise Calibration of Simulation Models for Cost-Effectiveness Analysis. Int. J. Comput. Intell. Syst. 17(1): 249 (2024)
• 
  Lucía Morán-González, Jørn Eirik Betten, Hannes Kneiding, David Balcells:
  AABBA Graph Kernel: Atom-Atom, Bond-Bond, and Bond-Atom Autocorrelations for Machine Learning. J. Chem. Inf. Model. 64(23): 8756-8769 (2024)
• 
  Alberto Zeni, Emanuele Del Sozzo, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio:
  Starlight: A kernel optimizer for GPU processing. J. Parallel Distributed Comput. 187: 104832 (2024)
• 
  Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
  MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. ASPLOS (2) 2024: 683-698
• 
  Davide Davoli, Martin Avanzini, Tamara Rezk:
  On Kernel's Safety in the Spectre Era (And KASLR is Formally Dead). CCS 2024: 1091-1105
• 
  Lynn von Kurnatowski, Benjamin Wolff, Sophie Kernchen, Adriana Klapproth-Rieger, David Heidrich, Carina Haupt, Andreas Schreiber, Thoralf Niendorf, Andreas Kosmider, Marcus Lobbes, Martin Hennecke:
  The (Un)Answered Question: A Data Science Powered Music Experiment. HCI (34) 2024: 233-246
• 
  David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
  Position: Application-Driven Innovation in Machine Learning. ICML 2024
• 
  Mengqi Zhang, Matthias Treder, David Marshall, Yuhua Li:
  Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns. IJCNN 2024: 1-8
• 
  Muhammad Abdullah, Laurenz Seidel, Ben Wernicke, Mehdi Gouasmi, Anton Hackl, Thomas Kern, Conrad Lempert, Clara Lempert, David Bizer, Wieland Storch, Chiao Fang, Patrick Baudisch:
  PopCore: Personal Fabrication of 3D Foamcore Models for Professional High-Quality Applications in Design and Architecture. SCF 2024: 6
• 
  David Fernández-Amorós, Ruben Heradio, José Miguel Horcas Aguilera, José A. Galindo, David Benavides, Lidia Fuentes:
  Pragmatic Random Sampling of the Linux Kernel: Enhancing the Randomness and Correctness of the conf Tool. SPLC (A) 2024: 24-35
• 
  Muhammad Abdullah, Laurenz Seidel, Ben Wernicke, Mehdi Gouasmi, Anton Friedrich Hackl, Thomas Kern, Conrad Lempert, Clara Lempert, David Bizer, Wieland Storch, Chiao Fang, Patrick Baudisch:
  Demonstrating PopCore: Personal Fabrication of 3D Foamcore Models for Professional High-Quality Applications in Design and Architecture. UIST (Adjunct Volume) 2024: 55:1-55:5
• 
  Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
  ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Version 2. Zenodo, 2024 [all versions] 
• 
  Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
  ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Version 1. Zenodo, 2024 [all versions] 
• 
  Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
  ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Multiple versions. Zenodo, 2024 [all versions] 
• 
  David Fernández-Amorós, Ruben Heradio, José Miguel Horcas, José A. Galindo, David Benavides, Lidia Fuentes:
  Software artifacts corresponding to the paper "Pragmatic Random Sampling of the Linux Kernel: Enhancing the Randomness and Correctness of the conf Tool". Version 3. Zenodo, 2024 [all versions] 
• 
  David Fernández-Amorós, Ruben Heradio, José Miguel Horcas, José A. Galindo, David Benavides, Lidia Fuentes:
  Software artifacts corresponding to the paper "Pragmatic Random Sampling of the Linux Kernel: Enhancing the Randomness and Correctness of the conf Tool". Version 1. Zenodo, 2024 [all versions] 

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