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Publication search results
found 103 matches
- 2024
- Ryan Evans, Neelu Sinha:
Bridging the Gap: Diversity Initiatives in AI Education. AAAI Spring Symposia 2024: 474-477 - Shashwat Singh, Zeynep Temel, Ryan St. Pierre:
Multi-modal jumping and crawling in an autonomous, springtail-inspired microrobot. ICRA 2024: 5999-6005 - Reed Truax, Feng Liu, Souma Chowdhury, Ryan St. Pierre:
Optimizing Design and Control of Running Robots Abstracted as Torque Driven Spring Loaded Inverted Pendulum (TD-SLIP). CoRR abs/2407.12120 (2024) - 2023
- Melanie Volkamer, David Duenas-Cid, Peter B. Rønne, Peter Y. A. Ryan, Jurlind Budurushi, Oksana Kulyk, Adrià Rodríguez-Pérez, Iuliia Spycher-Krivonosova:
Electronic Voting: 8th International Joint Conference, E-Vote-ID 2023, Luxembourg City, Luxembourg, October 3-6, 2023, Proceedings. Lecture Notes in Computer Science 14230, Springer 2023, ISBN 978-3-031-43755-7 [contents] - 2022
- Ryan Prater, Emanuele Laurenzi:
A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery. AAAI Spring Symposium: MAKE 2022 - Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan:
Massive MIMO Beam Management in Sub-6 GHz 5G NR. VTC Spring 2022: 1-5 - Peter Y. A. Ryan, Cristian Toma:
Innovative Security Solutions for Information Technology and Communications - 14th International Conference, SecITC 2021, Virtual Event, November 25-26, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13195, Springer 2022, ISBN 978-3-031-17509-1 [contents] - Guojun Wang, Kim-Kwang Raymond Choo, Ryan K. L. Ko, Yang Xu, Bruno Crispo:
Ubiquitous Security - First International Conference, UbiSec 2021, Guangzhou, China, December 28-31, 2021, Revised Selected Papers. Communications in Computer and Information Science 1557, Springer 2022, ISBN 978-981-19-0467-7 [contents] - 2021
- Matthew Ryan:
Ransomware Revolution: The Rise of a Prodigious Cyber Threat. Advances in Information Security 85, Springer 2021, ISBN 978-3-030-66582-1, pp. 1-156 - Ryan Lopez, Paul J. Atzberger:
Variational Autoencoders for Learning Nonlinear Dynamics of PDEs and Reductions. AAAI Spring Symposium: MLPS 2021 - Ryan Mohr, Allan M. Avila, Soham Ghosh, Ananta Bhattarai, Muqiao Yang, Xintian Feng, Martin Head-Gordon, Ruslan Salakhutdinov, Maria Fonoberova, Igor Mezic:
Combining Programmable Potentials and Neural Networks for Materials Problems. AAAI Spring Symposium: MLPS 2021 - Ryan Mohr, Maria Fonoberova, Iva Manojlovic, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic:
Applications of Koopman Mode Analysis to Neural Networks. AAAI Spring Symposium: MLPS 2021 - Abdurrahman Fouda, Ryan Keating, Amitava Ghosh:
Dynamic Selective Positioning for High-Precision Accuracy in 5G NR V2X Networks. VTC Spring 2021: 1-6 - Robert H. Deng, Feng Bao, Guilin Wang, Jian Shen, Mark Ryan, Weizhi Meng, Ding Wang:
Information Security Practice and Experience: 16th International Conference, ISPEC 2021, Nanjing, China, December 17-19, 2021, Proceedings. Lecture Notes in Computer Science 13107, Springer 2021, ISBN 978-3-030-93206-0 [contents] - Sabu M. Thampi, Guojun Wang, Danda B. Rawat, Ryan K. L. Ko, Chun-I Fan:
Security in Computing and Communications - 8th International Symposium, SSCC 2020, Chennai, India, October 14-17, 2020, Revised Selected Papers. Communications in Computer and Information Science 1364, Springer 2021, ISBN 978-981-16-0421-8 [contents] - 2020
- Ryan Regier, Owen Price, Alex Hadi, Zachary Faltersack, Andrew Nuxoll:
ARO: A Memory-Based Approach to Environments with Perceptual Aliasing. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - Srishti Tomar, Ryan Compton:
Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - Raul Puri, Ryan Spring, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro:
Training Question Answering Models From Synthetic Data. EMNLP (1) 2020: 5811-5826 - Ryan Spring, Anshumali Shrivastava:
Mutual Information Estimation using LSH Sampling. IJCAI 2020: 2807-2815 - Gautam Kumar, Nandita Dukkipati, Keon Jang, Hassan M. G. Wassel, Xian Wu, Behnam Montazeri, Yaogong Wang, Kevin Springborn, Christopher Alfeld, Michael Ryan, David Wetherall, Amin Vahdat:
Swift: Delay is Simple and Effective for Congestion Control in the Datacenter. SIGCOMM 2020: 514-528 - Sabu M. Thampi, Gregorio Martínez Pérez, Ryan K. L. Ko, Danda B. Rawat:
Security in Computing and Communications - 7th International Symposium, SSCC 2019, Trivandrum, India, December 18-21, 2019, Revised Selected Papers. Communications in Computer and Information Science 1208, Springer 2020, ISBN 978-981-15-4824-6 [contents] - Raul Puri, Ryan Spring, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Training Question Answering Models From Synthetic Data. CoRR abs/2002.09599 (2020) - 2019
- Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. ICML 2019: 5946-5955 - Michael Marty, Marc de Kruijf, Jacob Adriaens, Christopher Alfeld, Sean Bauer, Carlo Contavalli, Michael Dalton, Nandita Dukkipati, William C. Evans, Steve D. Gribble, Nicholas Kidd, Roman Kononov, Gautam Kumar, Carl Mauer, Emily Musick, Lena E. Olson, Erik Rubow, Michael Ryan, Kevin Springborn, Paul Turner, Valas Valancius, Xi Wang, Amin Vahdat:
Snap: a microkernel approach to host networking. SOSP 2019: 399-413 - Kazue Sako, Steve A. Schneider, Peter Y. A. Ryan:
Computer Security - ESORICS 2019 - 24th European Symposium on Research in Computer Security, Luxembourg, September 23-27, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11735, Springer 2019, ISBN 978-3-030-29958-3 [contents] - Kazue Sako, Steve A. Schneider, Peter Y. A. Ryan:
Computer Security - ESORICS 2019 - 24th European Symposium on Research in Computer Security, Luxembourg, September 23-27, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11736, Springer 2019, ISBN 978-3-030-29961-3 [contents] - Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. CoRR abs/1902.00179 (2019) - 2018
- Analía Amandi:
Ryan J. Urbanowicz, and Will N. Browne: Introduction to learning classifier systems - Springer, 2017, 123 pp, ISBN 978-3-662-55007-6. Genet. Program. Evolvable Mach. 19(4): 569-570 (2018) - Nolan P. Shaw, Andreas Stöckel, Ryan W. Orr, Thomas Finn Lidbetter, Robin Cohen:
Towards Provably Moral AI Agents in Bottom-Up Learning Frameworks. AAAI Spring Symposia 2018 - Ryan Spring, Anshumali Shrivastava:
Scalable Estimation via LSH Samplers (LSS). ICLR (Workshop) 2018
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