Large Automatic Learning, Rule Extraction, and Generalization. - John S. Denker; Daniel B. Schwartz; Ben S. Wittner; Sara A. Solla; Richard E. Howard; Lawrence D. Jackel; John J. Hopfield (Complex Syst., 1987)

An application of neural net chips: handwritten digit recognition. - Lawrence D. Jackel; Hans Peter Graf; Wayne E. Hubbard; John S. Denker; Don Henderson; Isabelle Guyon (ICNN, 1988)

Neural Network Recognizer for Hand-Written Zip Code Digits. - John S. Denker; W. R. Gardner; Hans Peter Graf; Donnie Henderson; Richard E. Howard; Wayne E. Hubbard; Lawrence D. Jackel; Henry S. Baird; Isabelle Guyon (NIPS, 1988)

VLSI Implementation of a Neural Network Model. - Hans Peter Graf; Lawrence D. Jackel; Wayne E. Hubbard (Computer, 1988)

Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning. - Yann LeCun; Larry D. Jackel; Bernhard E. Boser; John S. Denker; Hans Peter Graf; Isabelle Guyon; Donnie Henderson; Richard E. Howard; Wayne E. Hubbard (NATO Neurocomputing, 1989)

Handwritten Digit Recognition with a Back-Propagation Network. - Yann LeCun; Bernhard E. Boser; John S. Denker; Donnie Henderson; Richard E. Howard; Wayne E. Hubbard; Lawrence D. Jackel (NIPS, 1989)

Handwritten digit recognition: applications of neural network chips and automatic learning. - Yann LeCun; Lawrence D. Jackel; Bernhard E. Boser; John S. Denker; Hans Peter Graf; Isabelle Guyon; Don Henderson; Richard E. Howard; Wayne E. Hubbard (IEEE Commun. Mag., 1989)

Backpropagation Applied to Handwritten Zip Code Recognition. - Yann LeCun; Bernhard E. Boser; John S. Denker; Donnie Henderson; Richard E. Howard; Wayne E. Hubbard; Lawrence D. Jackel (Neural Comput., 1989)

Hardware requirements for neural-net optical character recognition. - Lawrence D. Jackel; Bernhard E. Boser; John S. Denker; Hans Peter Graf; Yann LeCun; Isabelle Guyon; Donnie Henderson; Richard E. Howard; Wayne E. Hubbard; Sara A. Solla (IJCNN, 1990)

A neural network approach to handprint character recognition. - Lawrence D. Jackel; Charles E. Stenard; Henry S. Baird; Bernhard E. Boser; Jane Bromley; Christopher J. C. Burges; John S. Denker; Hans Peter Graf; Donnie Henderson; Richard E. Howard; Wayne E. Hubbard; Yann LeCun; et al. (Compcon, 1991)

A Neurocomputer Board Based on the ANNA Neural Network Chip. - Eduard Säckinger; Bernhard E. Boser; Lawrence D. Jackel (NIPS, 1991)

An analog neural network processor with programmable topology. - Bernhard E. Boser; Eduard Sackinger; Jane Bromley; Yann LeCun; Lawrence D. Jackel (IEEE J. Solid State Circuits, 1991)

Reading Handwritten Digits: A ZIP Code Recognition System. - Ofer Matan; Henry S. Baird; Jane Bromley; Christopher J. C. Burges; John S. Denker; Lawrence D. Jackel; Yann LeCun; Edwin P. D. Pednault; William Satterfield; Charles E. Stenard; Timothy J. Thompson (Computer, 1992)

Hardware requirements for neural network pattern classifiers: a case study and implementation. - Bernhard E. Boser; Eduard Säckinger; Jane Bromley; Yann LeCun; Lawrence D. Jackel (IEEE Micro, 1992)

Application of the ANNA neural network chip to high-speed character recognition. - Eduard Säckinger; Bernhard E. Boser; Jane Bromley; Yann LeCun; Lawrence D. Jackel (IEEE Trans. Neural Networks, 1992)

On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks. - Quen-Zong Wu; Yann LeCun; Lawrence D. Jackel; Bor-Shenn Jeng (ISCAS, 1993)

Learning Curves: Asymptotic Values and Rate of Convergence. - Corinna Cortes; Lawrence D. Jackel; Sara A. Solla; Vladimir Vapnik; John S. Denker (NIPS, 1993)

Recent developments of electronic neural nets in North America. - Hans Peter Graf; Eduard Säckinger; Lawrence D. Jackel (J. VLSI Signal Process., 1993)

Boosting and Other Machine Learning Algorithms. - Harris Drucker; Corinna Cortes; Lawrence D. Jackel; Yann LeCun; Vladimir Vapnik (ICML, 1994)

Comparison of classifier methods: a case study in handwritten digit recognition. - Léon Bottou; Corinna Cortes; John S. Denker; Harris Drucker; Isabelle Guyon; Larry D. Jackel; Yann LeCun; Urs A. Müller; Eduard Säckinger; Patrice Y. Simard; Vladimir Vapnik (ICPR (2), 1994)

Limits in Learning Machine Accuracy Imposed by Data Quality. - Corinna Cortes; Lawrence D. Jackel; Wan-Ping Chiang (NIPS, 1994)

Boosting and Other Ensemble Methods. - Harris Drucker; Corinna Cortes; Lawrence D. Jackel; Yann LeCun; Vladimir Vapnik (Neural Comput., 1994)

Optical character recognition for self-service banking. - Lawrence D. Jackel; David Sharman; Charles E. Stenard; B. Ivan Strom; Derek Zuckert (AT&T Tech. J., 1995)

Achieving autonomous navigation in ground robotic vehicles. - Lawrence D. Jackel; Scott Fish; Eric Krotkov; Michael Perschbacher; James Pippine (Mobile Robots, 2002)

The DARPA LAGR program: Goals, challenges, methodology, and phase I results. - Larry D. Jackel; Eric Krotkov; Michael Perschbacher; James Pippine; Chad Sullivan (J. Field Robotics, 2006)

An Advanced Teleoperation Testbed. - Bill Ross; John Bares; David Stager; Larry D. Jackel; Michael Perschbacher (FSR, 2007)

The DARPA PerceptOR evaluation experiments. - Eric Krotkov; Scott Fish; Larry D. Jackel; Bill McBride; Michael Perschbacher; James Pippine (Auton. Robots, 2007)

How DARPA structures its robotics programs to improve locomotion and navigation. - Larry D. Jackel; Douglas Hackett; Eric Krotkov; Michael Perschbacher; James Pippine; Charles Sullivan (Commun. ACM, 2007)

Foreword. - Larry D. Jackel; Tom Wagner (J. Field Robotics, 2009)

VisualBackProp: visualizing CNNs for autonomous driving. - Mariusz Bojarski; Anna Choromanska; Krzysztof Choromanski; Bernhard Firner; Larry D. Jackel; Urs Muller; Karol Zieba (CoRR, 2016)

End to End Learning for Self-Driving Cars. - Mariusz Bojarski; Davide Del Testa; Daniel Dworakowski; Bernhard Firner; Beat Flepp; Prasoon Goyal; Lawrence D. Jackel; Mathew Monfort; Urs Muller; Jiakai Zhang; Xin Zhang; Jake Zhao; et al. (CoRR, 2016)

Fast Incremental Learning for Off-Road Robot Navigation. - Artem Provodin; Liila Torabi; Beat Flepp; Yann LeCun; Michael Sergio; Lawrence D. Jackel; Urs Muller; Jure Zbontar (CoRR, 2016)

Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car. - Mariusz Bojarski; Philip Yeres; Anna Choromanska; Krzysztof Choromanski; Bernhard Firner; Lawrence D. Jackel; Urs Muller (CoRR, 2017)

The DARPA Robotics Challenge Finals: Results and Perspectives. - Eric Krotkov; Douglas Hackett; Lawrence D. Jackel; Michael Perschbacher; James Pippine; Jesse Strauss; Gill A. Pratt; Christopher Orlowski (J. Field Robotics, 2017)

Acoustic Collision Detection and Localization for Robot Manipulators. - Xiaoran Fan; Daewon Lee; Yuan Chen 006; Colin Prepscius; Volkan Isler; Larry D. Jackel; H. Sebastian Seung; Daniel D. Lee (IROS, 2020)

The NVIDIA PilotNet Experiments. - Mariusz Bojarski; Chenyi Chen; Joyjit Daw; Alperen Degirmenci; Joya Deri; Bernhard Firner; Beat Flepp; Sachin Gogri; Jesse Hong; Lawrence D. Jackel; Zhenhua Jia; B. J. Lee; et al. (CoRR, 2020)

AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. - Xiaoran Fan; Riley Simmons-Edler; Daewon Lee; Larry D. Jackel; Richard E. Howard; Daniel D. Lee (IROS, 2021)

Look and Listen: A Multi-Sensory Pouring Network and Dataset for Granular Media from Human Demonstrations. - Alexis Burns; Siyuan Xiang; Daewon Lee; Larry D. Jackel; Shuran Song; Volkan Isler (ICRA, 2022)

Enabling Low-Cost Full Surface Tactile Skin for Human Robot Interaction. - Xiaoran Fan; Daewon Lee; Larry D. Jackel; Richard E. Howard; Daniel Dongyuel Lee; Volkan Isler (IEEE Robotics Autom. Lett., 2022)

SonicFinger: Pre-touch and Contact Detection Tactile Sensor for Reactive Pregrasping. - Siddharth Rupavatharam; Caleb Escobedo; Daewon Lee; Colin Prepscius; Lawrence D. Jackel; Richard E. Howard; Volkan Isler (ICRA, 2023)

AcouSkin: Full Surface Contact localization Using Acoustic Waves. - Adarsh Kumar Kosta; Alexis Burns; Siddharth Rupavatharam; Caleb Escobedo; Daewon Lee; Richard E. Howard; Larry D. Jackel; Volkan Isler (IROS, 2023)

AmbiSense: Acoustic Field Based Blindspot-Free Proximity Detection and Bearing Estimation. - Siddharth Rupavatharam; Xiaoran Fan; Caleb Escobedo; Daewon Lee; Larry D. Jackel; Richard E. Howard; Colin Prepscius; Daniel D. Lee; Volkan Isler (IROS, 2023)