Ashley Llorens

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 Projet

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 Projet

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 Projet

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 Projet

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 Projet

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 Projet

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 Projet

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 Projet

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 Projet

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 Projet

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 Projet

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