Ashley Llorens

Corporate Vice President and Managing Director, Microsoft Research

Publications

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- Agent AI Towards a Holistic Intelligence
  
  Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Fei-Fei Li, Katsushi Ikeuchi, Jianfeng Gao
  
  arXiv: 2403.00833 | February 2024
  
  Publication Publication Project
- An Interactive Agent Foundation Model
  
  Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Fei-Fei Li, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
  
  February 2024
  
  Publication Publication Project
- Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
  
  Xinqiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
  
  2023 Neural Information Processing Systems | December 2023
  
  Publication Publication
- Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
  
  Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
  
  NeurIPS 2023 | September 2023
  
  Publication
- Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
  
  Ufuk Topcu, Nadya Bliss, Nancy Cooke, Missy L. Cummings, Ashley J. Llorens, Howard E. Shrobe, Lenore Zuck
  
  October 2020
  
  A Computing Community Consortium (CCC) workshop report, 28 pages.
  
  Publication
- The First International Competition in Machine Reconnaissance Blind Chess
  
  Ryan W. Gardner, Corey Lowman, Casey Richardson, Ashley J. Llorens, Jared Markowitz, Nathan Drenkow, Andrew Newman, Gregory Clark, Gino Perrotta, Robert Perrotta, Timothy Highley, Vlad Shcherbina, William Bernadoni, Mark Jordan, Asen Asenov
  
  NeurIPS 2019 Competition and Demonstration Track | August 2020
  
  Publication
- TanksWorld: A Multi-Agent Environment for AI Safety Research
  
  Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens
  
  February 2020
  
  Publication
- An Agent-Ensemble for Thresholded Multi-Target Classification
  
  Nathan H. Parrish, Ashley J. Llorens, Alex E. Driskell
  
  Applied Sciences | February 2020, Vol 10(4): pp. 1376
  
  DOI
- Leveraging Commercial and Other Innovation for Future U.S. Navy Data Warfare Needs
  
  Burnadette Johnson, Arthur Barber, Gregory Crawford, Ashley J. Llorens, National Academies of Sciences, Engineering, and Medicine
  
  Published by The National Academies Press | January 2020
  
  Publication
- On the Complexity of Reconnaissance Blind Chess
  
  Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens
  
  November 2018
  
  Publication
- Defense Science Board Summer Study on Autonomy
  
  Ruth A David, Paul Nielsen, Ashley J. Llorens
  
  May 2016
  
  Published by the Office of the Under Secretary of Defense for Acquisition, Technology and Logistics
  
  PDF
- Conformal predictors for online track classification
  
  Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
  
  2014 International Conference on Acoustics, Speech, and Signal Processing | May 2014
  
  DOI
- The any-combiner for multi-agent target classification
  
  Nathan Parrish, Ashley J. Llorens
  
  2013 International Conference on Information Fusion | July 2013
  
  Publication
- Local distance metric learning for efficient conformal predictors
  
  Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
  
  2012 International Workshop on Machine Learning for Signal Processing | November 2012
  
  Publication DOI
- PAC-Bayesian learning with asymmetric cost
  
  Ashley J. Llorens, I-Jeng Wang
  
  2011 IEEE Signal Processing Workshop on Statistical Signal Processing | June 2011
  
  DOI Publication
- Online learning with minority class resampling
  
  Michael J. Pekala, Ashley J. Llorens
  
  International Conference on Acoustics, Speech, and Signal Processing | May 2011
  
  Publication DOI
- Enhancing passive automation performance using an acoustic propagation simulation
  
  Ashley J. Llorens, Trudy L. Philip, Iman W. Schurman, Cory R. Lorenz
  
  Journal of the Acoustical Society of America | April 2009, Vol 125(4): pp. 2577-2577
  
  DOI
- Data-dependent generalization performance assessment via quasiconvex optimization
  
  C.P. Diehl, Ashley J. Llorens
  
  2008 International Workshop on Machine Learning for Signal Processing | November 2008
  
  DOI Publication
- Advanced classification techniques for real‐time signals in resource‐constrained systems.
  
  G. Scott Peacock, David Barsic, Ashley J. Llorens
  
  2008 Journal of the Acoustical Society of America | October 2008, Vol 124(4): pp. 2520-2520
  
  DOI Publication
- Quantization of FIR filters under a total integer cost constraint
  
  Ashley J. Llorens, C.N. Hadjicostis, Hen Chi Ni
  
  2005 IEEE Transactions on Circuits and Systems Ii-express Briefs | September 2005, Vol 52(9): pp. 576-580
  
  Publication DOI

- Agent AI Towards a Holistic Intelligence
  
  Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Fei-Fei Li, Katsushi Ikeuchi, Jianfeng Gao
  
  arXiv: 2403.00833 | February 2024
  
  Publication Publication Project
- An Interactive Agent Foundation Model
  
  Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Fei-Fei Li, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
  
  February 2024
  
  Publication Publication Project
- Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
  
  Xinqiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
  
  2023 Neural Information Processing Systems | December 2023
  
  Publication Publication
- Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
  
  Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
  
  NeurIPS 2023 | September 2023
  
  Publication
- Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
  
  Ufuk Topcu, Nadya Bliss, Nancy Cooke, Missy L. Cummings, Ashley J. Llorens, Howard E. Shrobe, Lenore Zuck
  
  October 2020
  
  A Computing Community Consortium (CCC) workshop report, 28 pages.
  
  Publication
- The First International Competition in Machine Reconnaissance Blind Chess
  
  Ryan W. Gardner, Corey Lowman, Casey Richardson, Ashley J. Llorens, Jared Markowitz, Nathan Drenkow, Andrew Newman, Gregory Clark, Gino Perrotta, Robert Perrotta, Timothy Highley, Vlad Shcherbina, William Bernadoni, Mark Jordan, Asen Asenov
  
  NeurIPS 2019 Competition and Demonstration Track | August 2020
  
  Publication
- TanksWorld: A Multi-Agent Environment for AI Safety Research
  
  Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens
  
  February 2020
  
  Publication
- An Agent-Ensemble for Thresholded Multi-Target Classification
  
  Nathan H. Parrish, Ashley J. Llorens, Alex E. Driskell
  
  Applied Sciences | February 2020, Vol 10(4): pp. 1376
  
  DOI
- Leveraging Commercial and Other Innovation for Future U.S. Navy Data Warfare Needs
  
  Burnadette Johnson, Arthur Barber, Gregory Crawford, Ashley J. Llorens, National Academies of Sciences, Engineering, and Medicine
  
  Published by The National Academies Press | January 2020
  
  Publication
- On the Complexity of Reconnaissance Blind Chess
  
  Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens
  
  November 2018
  
  Publication
- Defense Science Board Summer Study on Autonomy
  
  Ruth A David, Paul Nielsen, Ashley J. Llorens
  
  May 2016
  
  Published by the Office of the Under Secretary of Defense for Acquisition, Technology and Logistics
  
  PDF
- Conformal predictors for online track classification
  
  Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
  
  2014 International Conference on Acoustics, Speech, and Signal Processing | May 2014
  
  DOI
- The any-combiner for multi-agent target classification
  
  Nathan Parrish, Ashley J. Llorens
  
  2013 International Conference on Information Fusion | July 2013
  
  Publication
- Local distance metric learning for efficient conformal predictors
  
  Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
  
  2012 International Workshop on Machine Learning for Signal Processing | November 2012
  
  Publication DOI
- PAC-Bayesian learning with asymmetric cost
  
  Ashley J. Llorens, I-Jeng Wang
  
  2011 IEEE Signal Processing Workshop on Statistical Signal Processing | June 2011
  
  DOI Publication
- Online learning with minority class resampling
  
  Michael J. Pekala, Ashley J. Llorens
  
  International Conference on Acoustics, Speech, and Signal Processing | May 2011
  
  Publication DOI
- Enhancing passive automation performance using an acoustic propagation simulation
  
  Ashley J. Llorens, Trudy L. Philip, Iman W. Schurman, Cory R. Lorenz
  
  Journal of the Acoustical Society of America | April 2009, Vol 125(4): pp. 2577-2577
  
  DOI
- Data-dependent generalization performance assessment via quasiconvex optimization
  
  C.P. Diehl, Ashley J. Llorens
  
  2008 International Workshop on Machine Learning for Signal Processing | November 2008
  
  DOI Publication
- Advanced classification techniques for real‐time signals in resource‐constrained systems.
  
  G. Scott Peacock, David Barsic, Ashley J. Llorens
  
  2008 Journal of the Acoustical Society of America | October 2008, Vol 124(4): pp. 2520-2520
  
  DOI Publication
- Agent AI Towards a Holistic Intelligence
  
  Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Fei-Fei Li, Katsushi Ikeuchi, Jianfeng Gao
  
  arXiv: 2403.00833 | February 2024
  
  Publication Publication Project
- Agent AI Towards a Holistic Intelligence
  
  Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Fei-Fei Li, Katsushi Ikeuchi, Jianfeng Gao
  
  arXiv: 2403.00833 | February 2024
  
  Publication Publication Project
- An Interactive Agent Foundation Model
  
  Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Fei-Fei Li, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
  
  February 2024
  
  Publication Publication Project
- An Interactive Agent Foundation Model
  
  Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Fei-Fei Li, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
  
  February 2024
  
  Publication Publication Project
- An Interactive Agent Foundation Model
  
  Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Fei-Fei Li, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
  
  February 2024
  
  Publication Publication Project
- Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
  
  Ufuk Topcu, Nadya Bliss, Nancy Cooke, Missy L. Cummings, Ashley J. Llorens, Howard E. Shrobe, Lenore Zuck
  
  October 2020
  
  A Computing Community Consortium (CCC) workshop report, 28 pages.
  
  Publication
- Quantization of FIR filters under a total integer cost constraint
  
  Ashley J. Llorens, C.N. Hadjicostis, Hen Chi Ni
  
  2005 IEEE Transactions on Circuits and Systems Ii-express Briefs | September 2005, Vol 52(9): pp. 576-580
  
  Publication DOI
- Quantization of FIR filters under a total integer cost constraint
  
  Ashley J. Llorens, C.N. Hadjicostis, Hen Chi Ni
  
  2005 IEEE Transactions on Circuits and Systems Ii-express Briefs | September 2005, Vol 52(9): pp. 576-580
  
  Publication DOI
- Leveraging Commercial and Other Innovation for Future U.S. Navy Data Warfare Needs
  
  Burnadette Johnson, Arthur Barber, Gregory Crawford, Ashley J. Llorens, National Academies of Sciences, Engineering, and Medicine
  
  Published by The National Academies Press | January 2020
  
  Publication
- Advanced classification techniques for real‐time signals in resource‐constrained systems.
  
  G. Scott Peacock, David Barsic, Ashley J. Llorens
  
  2008 Journal of the Acoustical Society of America | October 2008, Vol 124(4): pp. 2520-2520
  
  DOI Publication
- Enhancing passive automation performance using an acoustic propagation simulation
  
  Ashley J. Llorens, Trudy L. Philip, Iman W. Schurman, Cory R. Lorenz
  
  Journal of the Acoustical Society of America | April 2009, Vol 125(4): pp. 2577-2577
  
  DOI

- Agent AI Towards a Holistic Intelligence
  
  Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Fei-Fei Li, Katsushi Ikeuchi, Jianfeng Gao
  
  arXiv: 2403.00833 | February 2024
  
  Publication Publication Project
- An Interactive Agent Foundation Model
  
  Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Fei-Fei Li, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
  
  February 2024
  
  Publication Publication Project
- Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
  
  Xinqiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
  
  2023 Neural Information Processing Systems | December 2023
  
  Publication Publication
- Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution
  
  Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens
  
  NeurIPS 2023 | September 2023
  
  Publication
- The First International Competition in Machine Reconnaissance Blind Chess
  
  Ryan W. Gardner, Corey Lowman, Casey Richardson, Ashley J. Llorens, Jared Markowitz, Nathan Drenkow, Andrew Newman, Gregory Clark, Gino Perrotta, Robert Perrotta, Timothy Highley, Vlad Shcherbina, William Bernadoni, Mark Jordan, Asen Asenov
  
  NeurIPS 2019 Competition and Demonstration Track | August 2020
  
  Publication
- Conformal predictors for online track classification
  
  Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
  
  2014 International Conference on Acoustics, Speech, and Signal Processing | May 2014
  
  DOI
- The any-combiner for multi-agent target classification
  
  Nathan Parrish, Ashley J. Llorens
  
  2013 International Conference on Information Fusion | July 2013
  
  Publication
- Local distance metric learning for efficient conformal predictors
  
  Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
  
  2012 International Workshop on Machine Learning for Signal Processing | November 2012
  
  Publication DOI
- PAC-Bayesian learning with asymmetric cost
  
  Ashley J. Llorens, I-Jeng Wang
  
  2011 IEEE Signal Processing Workshop on Statistical Signal Processing | June 2011
  
  DOI Publication
- Online learning with minority class resampling
  
  Michael J. Pekala, Ashley J. Llorens
  
  International Conference on Acoustics, Speech, and Signal Processing | May 2011
  
  Publication DOI
- Data-dependent generalization performance assessment via quasiconvex optimization
  
  C.P. Diehl, Ashley J. Llorens
  
  2008 International Workshop on Machine Learning for Signal Processing | November 2008
  
  DOI Publication
- An Agent-Ensemble for Thresholded Multi-Target Classification
  
  Nathan H. Parrish, Ashley J. Llorens, Alex E. Driskell
  
  Applied Sciences | February 2020, Vol 10(4): pp. 1376
  
  DOI
- Enhancing passive automation performance using an acoustic propagation simulation
  
  Ashley J. Llorens, Trudy L. Philip, Iman W. Schurman, Cory R. Lorenz
  
  Journal of the Acoustical Society of America | April 2009, Vol 125(4): pp. 2577-2577
  
  DOI
- Advanced classification techniques for real‐time signals in resource‐constrained systems.
  
  G. Scott Peacock, David Barsic, Ashley J. Llorens
  
  2008 Journal of the Acoustical Society of America | October 2008, Vol 124(4): pp. 2520-2520
  
  DOI Publication
- Quantization of FIR filters under a total integer cost constraint
  
  Ashley J. Llorens, C.N. Hadjicostis, Hen Chi Ni
  
  2005 IEEE Transactions on Circuits and Systems Ii-express Briefs | September 2005, Vol 52(9): pp. 576-580
  
  Publication DOI
- Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
  
  Ufuk Topcu, Nadya Bliss, Nancy Cooke, Missy L. Cummings, Ashley J. Llorens, Howard E. Shrobe, Lenore Zuck
  
  October 2020
  
  A Computing Community Consortium (CCC) workshop report, 28 pages.
  
  Publication
- TanksWorld: A Multi-Agent Environment for AI Safety Research
  
  Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens
  
  February 2020
  
  Publication
- On the Complexity of Reconnaissance Blind Chess
  
  Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens
  
  November 2018
  
  Publication
- Defense Science Board Summer Study on Autonomy
  
  Ruth A David, Paul Nielsen, Ashley J. Llorens
  
  May 2016
  
  Published by the Office of the Under Secretary of Defense for Acquisition, Technology and Logistics
  
  PDF
- Leveraging Commercial and Other Innovation for Future U.S. Navy Data Warfare Needs
  
  Burnadette Johnson, Arthur Barber, Gregory Crawford, Ashley J. Llorens, National Academies of Sciences, Engineering, and Medicine
  
  Published by The National Academies Press | January 2020
  
  Publication