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Publication search results
found 263 matches
- 2024
- Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay:
A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles. IEEE Robotics Autom. Lett. 9(5): 4226-4233 (2024) - Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best:
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Trans. Robotics 40: 1952-1965 (2024) - Ruya Karagulle, Necmiye Ozay, Nikos Aréchiga, Jonathan A. DeCastro, Andrew Best:
Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles. HSCC 2024: 5:1-5:11 - Mohamad Louai Shehab, Antoine Aspeel, Nikos Aréchiga, Andrew Best, Necmiye Ozay:
Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning. L4DC 2024: 1266-1277 - Chansup Byun, Julie Mullen, Albert Iwersen Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. PEARC 2024: 65:1-65:4 - Emily S. Sumner, Jonathan A. DeCastro, Jean Costa, Deepak E. Gopinath, Everlyne Kimani, Shabnam Hakimi, Allison Morgan, Andrew Best, Hieu Nguyen, Daniel J. Brooks, Bassam ul Haq, Andrew Patrikalakis, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman:
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR abs/2402.05893 (2024) - Lin An, Andrew A. Li, Benjamin Moseley, Gabriel Visotsky:
Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model. CoRR abs/2402.13530 (2024) - Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai:
Best Practices and Lessons Learned on Synthetic Data for Language Models. CoRR abs/2404.07503 (2024) - Chansup Byun, Julia Mullen, Albert Reuther, William Arcand, William Bergeron, David Bestor, Daniel Burrill, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Peter Michaleas, Guillermo Morales, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Lauren Milechin:
LLload: Simplifying Real-Time Job Monitoring for HPC Users. CoRR abs/2407.01481 (2024) - Yuan Xue, Nan Du, Anne Mottram, Martin Seneviratne, Andrew M. Dai:
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction. CoRR abs/2407.19359 (2024) - 2023
- Juli Goldstein, Dena Weitzman, Meghan Lemerond, Andrew Jones:
Determinants for scalable adoption of autonomous AI in the detection of diabetic eye disease in diverse practice types: key best practices learned through collection of real-world data. Frontiers Digit. Health 5 (2023) - Andrew F. Ward, Mage Marmol, David Lopez-Lopez, Patricia Carracedo, Angel A. Juan:
Data analytics and artificial intelligence in e-marketing: techniques, best practices and trends. Int. J. Data Anal. Tech. Strateg. 15(3): 147-178 (2023) - Andrew Mastin, Arden Baxter, Amelia Musselman, Jean-Paul Watson:
Best Response Intersection: An Optimal Algorithm for Interdiction Defense. INFORMS J. Optim. 5(2): 172-190 (2023) - Giuseppe Cascavilla, Damian A. Tamburri, Francesco Leotta, Massimo Mecella, Willem-Jan van den Heuvel:
Counter-terrorism in cyber-physical spaces: Best practices and technologies from the state of the art. Inf. Softw. Technol. 161: 107260 (2023) - Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé:
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. ACM Trans. Softw. Eng. Methodol. 32(4): 92:1-92:34 (2023) - Forough Nasirpouri Shadbad, Gabriel Bahr, Andy Luse, Bryan I. Hammer:
Best of Both Worlds: The Inclusion of Gamification in Virtual Lab Environments to Increase Educational Value. HICSS 2023: 1147-1156 - Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython Performance Study. HPEC 2023: 1-7 - Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. HPEC 2023: 1-9 - Michael Jones, Jeremy Kepner, Andrew Prout, Timothy Davis, William Arcand, David Bestor, William Bergeron, Chansup Byun, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Hayden Jananthan, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Sandeep Pisharody, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays. HPEC 2023: 1-8 - Jeremy Kepner, Michael Jones, Phil Dykstra, Chansup Byun, Timothy Davis, Hayden Jananthan, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Micheal Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Charles Yee, Peter Michaleas:
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices. HPEC 2023: 1-9 - Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay:
Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles. HSCC 2023: 24:1-24:2 - Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Kartik Audhkhasi:
O-1: Self-training with Oracle and 1-best Hypothesis. INTERSPEECH 2023: 77-81 - Xin Qin, Nikos Aréchiga, Jyotirmoy Deshmukh, Andrew Best:
Robust Testing for Cyber-Physical Systems using Reinforcement Learning. MEMOCODE 2023: 36-46 - Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld:
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees. NeurIPS 2023 - Mirko Amico, Helena Zhang, Petar Jurcevic, Lev S. Bishop, Paul D. Nation, Andrew W. Cross, David C. McKay:
Defining Best Practices for Quantum Benchmarks. QCE 2023: 692-702 - Lorenzo Maggi, Ryo Koblitz, Qiping Zhu, Matthew Andrews:
Tracking the Best Beam for a Mobile User via Bayesian Optimization. VTC2023-Spring 2023: 1-7 - Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best:
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. CoRR abs/2301.08595 (2023) - Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. CoRR abs/2301.11581 (2023) - Lorenzo Maggi, Ryo Koblitz, Qiping Zhu, Matthew Andrews:
Tracking the Best Beam for a Mobile User via Bayesian Optimization. CoRR abs/2303.17301 (2023) - Bill Tomlinson, Andrew W. Torrance, Rebecca W. Black:
ChatGPT and Works Scholarly: Best Practices and Legal Pitfalls in Writing with AI. CoRR abs/2305.03722 (2023)
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