Mark Hamilton

Coco-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha Dutell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz

ICLR 2024 | April 2024

Publication

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Mark Hamilton

ICLR 2024 | March 2024

Publication

Large-Scale Automatic Audiobook Creation

Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer

Interspeech Show and Tell | September 2023

Publication Project

Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning

Mark Hamilton, Scott Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman

ICLR 2022 | April 2022

Publication

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman

ICLR 2022 | April 2022

Publication

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

NeurIPS 2020 Competition and Demonstration Track | February 2021

Publication Video Video Project

Large-Scale Intelligent Microservices

Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman

IEEE Big Data | December 2020

PDF Publication Video Project

Risk-Based Critical Concentrations of Legionella pneumophila for Indoor Residential Water Uses

Kerry A. Hamilton, Mark Hamilton, William Johnson, Patrick Jjemba, Zia Bukhari, Mark LeChevallier, Charles N. Haas, P. L. Gurian

Environmental Science & Technology | July 2020

PDF

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales

Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Karthik Rajendran, Dalitso Banda, Casey Jisoo Hong, Manon Knoertzer, Ben Brodsky, Minsoo Thigpen, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green

June 2019

Publication Download Project

Spot poachers in action: Augmenting conservation drones with automatic detection in near real time

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

Thirty-Second AAAI Conference on Artificial Intelligence | April 2018

Publication

Flexible and Scalable Deep Learning with MMLSpark

Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park

4th International Conference on Predictive Applications and APIs | April 2018

Publication Github Project

Coco-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha Dutell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz

ICLR 2024 | April 2024

Publication

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Mark Hamilton

ICLR 2024 | March 2024

Publication

Large-Scale Automatic Audiobook Creation

Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer

Interspeech Show and Tell | September 2023

Publication Project

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman

ICLR 2022 | April 2022

Publication

Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning

Mark Hamilton, Scott Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman

ICLR 2022 | April 2022

Publication

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

NeurIPS 2020 Competition and Demonstration Track | February 2021

Publication Video Video Project

Large-Scale Intelligent Microservices

Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman

IEEE Big Data | December 2020

PDF Publication Video Project

Risk-Based Critical Concentrations of Legionella pneumophila for Indoor Residential Water Uses

Kerry A. Hamilton, Mark Hamilton, William Johnson, Patrick Jjemba, Zia Bukhari, Mark LeChevallier, Charles N. Haas, P. L. Gurian

Environmental Science & Technology | July 2020

PDF

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales

Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Karthik Rajendran, Dalitso Banda, Casey Jisoo Hong, Manon Knoertzer, Ben Brodsky, Minsoo Thigpen, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green

June 2019

Publication Download Project

Spot poachers in action: Augmenting conservation drones with automatic detection in near real time

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

Thirty-Second AAAI Conference on Artificial Intelligence | April 2018

Publication

Flexible and Scalable Deep Learning with MMLSpark

Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park

4th International Conference on Predictive Applications and APIs | April 2018

Publication Github Project

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Mark Hamilton

ICLR 2024 | March 2024

Publication

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Mark Hamilton

ICLR 2024 | March 2024

Publication

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

NeurIPS 2020 Competition and Demonstration Track | February 2021

Publication Video Video Project

Large-Scale Automatic Audiobook Creation

Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer

Interspeech Show and Tell | September 2023

Publication Project

Large-Scale Intelligent Microservices

Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman

IEEE Big Data | December 2020

PDF Publication Video Project

Large-Scale Intelligent Microservices

Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman

IEEE Big Data | December 2020

PDF Publication Video Project

Spot poachers in action: Augmenting conservation drones with automatic detection in near real time

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

Thirty-Second AAAI Conference on Artificial Intelligence | April 2018

Publication

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

NeurIPS 2020 Competition and Demonstration Track | February 2021

Publication Video Video Project

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

NeurIPS 2020 Competition and Demonstration Track | February 2021

Publication Video Video Project

Risk-Based Critical Concentrations of Legionella pneumophila for Indoor Residential Water Uses

Kerry A. Hamilton, Mark Hamilton, William Johnson, Patrick Jjemba, Zia Bukhari, Mark LeChevallier, Charles N. Haas, P. L. Gurian

Environmental Science & Technology | July 2020

PDF

Spot poachers in action: Augmenting conservation drones with automatic detection in near real time

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

Thirty-Second AAAI Conference on Artificial Intelligence | April 2018

Publication

Flexible and Scalable Deep Learning with MMLSpark

Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park

4th International Conference on Predictive Applications and APIs | April 2018

Publication Github Project

Coco-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha Dutell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz

ICLR 2024 | April 2024

Publication

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Mark Hamilton

ICLR 2024 | March 2024

Publication

Large-Scale Automatic Audiobook Creation

Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer

Interspeech Show and Tell | September 2023

Publication Project

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman

ICLR 2022 | April 2022

Publication

Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning

Mark Hamilton, Scott Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman

ICLR 2022 | April 2022

Publication

MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval

Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman

NeurIPS 2020 Competition and Demonstration Track | February 2021

Publication Video Video Project

Large-Scale Intelligent Microservices

Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman

IEEE Big Data | December 2020

PDF Publication Video Project

Spot poachers in action: Augmenting conservation drones with automatic detection in near real time

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

Thirty-Second AAAI Conference on Artificial Intelligence | April 2018

Publication

Flexible and Scalable Deep Learning with MMLSpark

Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park

4th International Conference on Predictive Applications and APIs | April 2018

Publication Github Project

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales

Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Karthik Rajendran, Dalitso Banda, Casey Jisoo Hong, Manon Knoertzer, Ben Brodsky, Minsoo Thigpen, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green

June 2019

Publication Download Project

Risk-Based Critical Concentrations of Legionella pneumophila for Indoor Residential Water Uses

Kerry A. Hamilton, Mark Hamilton, William Johnson, Patrick Jjemba, Zia Bukhari, Mark LeChevallier, Charles N. Haas, P. L. Gurian

Environmental Science & Technology | July 2020

PDF