• 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 248 matches

• 2024
• 
  Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois:
  Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems. J. Aerosp. Inf. Syst. 21(7): 533-546 (2024)
• 
  Robin Kirchner, Simon Koch, Noah Kamangar, David Klein, Martin Johns:
  A Black-Box Privacy Analysis of Messaging Service Providers' Chat Message Processing. Proc. Priv. Enhancing Technol. 2024(3): 674-691 (2024)
• 
  Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen:
  Distributed Online Planning for Min-Max Problems in Networked Markov Games. IEEE Robotics Autom. Lett. 9(7): 6656-6663 (2024)
• 
  Marija Popovic, Joshua Ott, Julius Rückin, Mykel J. Kochenderfer:
  Learning-based methods for adaptive informative path planning. Robotics Auton. Syst. 179: 104727 (2024)
• 
  Isaac R. Ward, Dylan M. Asmar, Mansur Arief, Jana Krystofova Mike, Mykel J. Kochenderfer:
  Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. CBMS 2024: 192-198
• 
  Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer:
  ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. IJCAI 2024: 6752-6760
• 
  Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer:
  BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. RLC 2024: 158-181
• 
  Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush:
  Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. WACV 2024: 7498-7507
• 
  Alexandros E. Tzikas, Licio Romao, Mert Pilanci, Alessandro Abate, Mykel J. Kochenderfer:
  Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers. CoRR abs/2401.15838 (2024)
• 
  Marija Popovic, Joshua Ott, Julius Rückin, Mykel J. Kochenderfer:
  Robotic Learning for Adaptive Informative Path Planning. CoRR abs/2404.06940 (2024)
• 
  Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer:
  ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. CoRR abs/2405.00644 (2024)
• 
  Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen:
  Distributed Online Planning for Min-Max Problems in Networked Markov Games. CoRR abs/2405.19570 (2024)
• 
  Harrison Delecki, Marc R. Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer:
  Diffusion-Based Failure Sampling for Cyber-Physical Systems. CoRR abs/2406.14761 (2024)
• 
  Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
  Open Problems in Technical AI Governance. CoRR abs/2407.14981 (2024)
• 
  Romeo Valentin, Sydney M. Katz, Joonghyun Lee, Don Walker, Matthew Sorgenfrei, Mykel J. Kochenderfer:
  Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features. CoRR abs/2407.16223 (2024)
• 2023
• 
  David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
  Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55(2): 42:1-42:96 (2023)
• 
  Jen Bichel-Findlay, Sabine Koch, John Mantas, Shabbir Syed-Abdul, Najeeb Al-Shorbaji, Elske Ammenwerth, Analía Baum, Elizabeth M. Borycki, George Demiris, Arie Hasman, William R. Hersh, Evelyn J. S. Hovenga, Ursula Hübner, Elaine S. Huesing, André Kushniruk, Kye Hwa Lee, Christoph U. Lehmann, Svein-Ivar Lillehaug, Heimar F. Marin, Michael Marschollek, Fernando Martín-Sánchez, Mark Merolli, Aurore Nishimwe, Kaija Saranto, Danielle Sent, Aviv Shachak, Jai Ganesh Udayasankaran, Martin Chieng Were, Graham Wright:
  Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision. Int. J. Medical Informatics 170: 104908 (2023)
• 
  Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong:
  Guest Editorial: Special issue on robust machine learning. Mach. Learn. 112(8): 2787-2789 (2023)
• 
  Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G. Abdallah, Michael Angstadt, Christopher L. Averill, C. Lexi Baird, Lee Baugh, Jennifer Urbano Blackford, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Zhihong Cao, Kyle Choi, Josh M. Cisler, Andrew S. Cotton, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. De Bellis, Emily L. Dennis, Maria Densmore, Terri A. deRoon-Cassini, Seth G. Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Atilla Gonenc, Evan M. Gordon, Staci Gruber, Daniel W. Grupe, Jeffrey P. Guenette, Courtney C. Haswell, Ryan J. Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R. Hudson, Ashley A. Huggins, Jonathan C. Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L. Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B. J. Koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh S. Korgaonkar, John H. Krystal, Ruth A. Lanius, Christine L. Larson, Lauren A. M. Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A. Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie A. McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin O'Leary, Bunmi O. Olatunji, Miranda Olff, Matthew Peverill, K. Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry J. Ressler, Pavel Riha, Marisa Ross, Isabelle M. Rosso, Lauren E. Salminen, Kelly A. Sambrook, Christian Schmahl, Martha Elizabeth Shenton, Margaret A. Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N. Simmons, Raluca M. Simons, Jeffrey S. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Delin Sun, Jean Théberge, Paul M. Thompson, Sophia I. Thomopoulos, Nic J. A. van der Wee, Steven J. A. van der Werff, Theo G. M. van Erp, Sanne J. H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert R. J. M. Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa N. Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A. Morey:
  Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 283: 120412 (2023)
• 
  Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer:
  Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. IEEE Trans. Intell. Transp. Syst. 24(3): 2874-2887 (2023)
• 
  Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer:
  Deep Normalizing Flows for State Estimation. FUSION 2023: 1-6
• 
  Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer:
  Model Predictive Optimized Path Integral Strategies. ICRA 2023: 3182-3188
• 
  Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer:
  SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. ITSC 2023: 2118-2124
• 
  Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois:
  Bayesian Safety Validation for Black-Box Systems. CoRR abs/2305.02449 (2023)
• 
  Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer:
  BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. CoRR abs/2306.00249 (2023)
• 
  Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer:
  Deep Normalizing Flows for State Estimation. CoRR abs/2306.15605 (2023)
• 
  Anthony Corso, David Karamadian, Romeo Valentin, Mary Cooper, Mykel J. Kochenderfer:
  A Holistic Assessment of the Reliability of Machine Learning Systems. CoRR abs/2307.10586 (2023)
• 
  Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Behzad Dariush, Chiho Choi, Mykel J. Kochenderfer:
  Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. CoRR abs/2309.06597 (2023)
• 
  Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer:
  SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. CoRR abs/2309.12474 (2023)
• 2022
• 
  Delin Sun, Gopalkumar Rakesh, Courtney C. Haswell, Mark W. Logue, C. Lexi Baird, Erin O'Leary, Andrew S. Cotton, Hong Xie, Marijo B. Tamburrino, Tian Chen, Emily L. Dennis, Neda Jahanshad, Lauren E. Salminen, Sophia I. Thomopoulos, Faisal Rashid, Christopher R. K. Ching, Saskia B. J. Koch, Jessie L. Frijling, Laura Nawijn, Mirjam van Zuiden, Xi Zhu, Benjamin Suarez-Jimenez, Anika Sierk, Henrik Walter, Antje Manthey, Jennifer S. Stevens, Negar Fani, Sanne J. H. van Rooij, Murray B. Stein, Jessica Bomyea, Inga Koerte, Kyle Choi, Steven J. A. van der Werff, Robert R. J. M. Vermeiren, Julia Herzog, Lauren A. M. Lebois, Justin T. Baker, Elizabeth A. Olson, Thomas Straube, Mayuresh S. Korgaonkar, Elpiniki Andrew, Ye Zhu, Gen Li, Jonathan Ipser, Anna R. Hudson, Matthew Peverill, Kelly A. Sambrook, Evan Gordon, Lee Baugh, Gina L. Forster, Raluca M. Simons, Jeffrey S. Simons, Vincent Magnotta, Adi Maron-Katz, Stefan du Plessis, Seth G. Disner, Nicholas D. Davenport, Daniel W. Grupe, Jack B. Nitschke, Terri A. deRoon-Cassini, Jacklynn M. Fitzgerald, John H. Krystal, Ifat Levy, Miranda Olff, Dick J. Veltman, Li Wang, Yuval Neria, Michael D. De Bellis, Tanja Jovanovic, Judith K. Daniels, Martha Shenton, Nic J. A. van der Wee, Christian Schmahl, Milissa L. Kaufman, Isabelle M. Rosso, Scott R. Sponheim, David Bernd Hofmann, Richard A. Bryant, Kelene A. Fercho, Dan J. Stein, Sven C. Mueller, Bobak Hosseini, K. Luan Phan, Katie A. McLaughlin, Richard J. Davidson, Christine L. Larson, Geoffrey May, Steven M. Nelson, Chadi G. Abdallah, Hassaan Gomaa, Amit Etkin, Zelekha A. Seedat, Ilan Harpaz-Rotem, Israel Liberzon, Theo G. M. van Erp, Yann Quidé, Xin Wang, Paul M. Thompson, Rajendra A. Morey:
  A comparison of methods to harmonize cortical thickness measurements across scanners and sites. NeuroImage 261: 119509 (2022)

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