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Books and Theses
- 2011
[b1]Mark Palatucci:
Thought Recognition: Predicting and Decoding Brain Activity Using the Zero-Shot Learning Model. Carnegie Mellon University, USA, 2011
Journal Articles
- 2012
- [j2]Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe
, Riitta Salmelin, Tom M. Mitchell:
Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage 62(1): 451-463 (2012) - 2006
- [j1]Sebastian Thrun, Michael Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip W. Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia M. Oakley, Mark Palatucci, Vaughan R. Pratt, Pascal Stang, Sven Strohband, Cedric Dupont, Lars-Erik Jendrossek, Christian Koelen, Charles Markey, Carlo Rummel, Joe van Niekerk, Eric Jensen, Philippe Alessandrini, Gary R. Bradski, Bob Davies, Scott Ettinger, Adrian Kaehler, Ara V. Nefian, Pamela Mahoney:
Stanley: The robot that won the DARPA Grand Challenge. J. Field Robotics 23(9): 661-692 (2006)
Conference and Workshop Papers
- 2022
- [c6]Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson:
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. ICRA 2022: 2445-2451 - [c5]Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov:
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. IROS 2022: 8652-8659 - 2009
- [c4]Han Liu, Mark Palatucci, Jian Zhang:
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. ICML 2009: 649-656 - [c3]Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell:
Zero-shot Learning with Semantic Output Codes. NIPS 2009: 1410-1418 - 2008
- [c2]Mark Palatucci, Andrew Carlson:
On the chance accuracies of large collections of classifiers. ICML 2008: 744-751 - 2007
- [c1]Mark Palatucci, Tom M. Mitchell:
Classification in Very High Dimensional Problems with Handfuls of Examples. PKDD 2007: 212-223
Informal and Other Publications
- 2022
- [i2]Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson:
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. CoRR abs/2205.03195 (2022) - [i1]Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov:
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. CoRR abs/2210.09539 (2022)
Coauthor Index
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