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Author search results
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- Michael Noseworthy
Massachusetts Institute of Technology, Cambridge, MA, USA
Likely matches
- Michael D. Noseworthy
McMaster University, Canada
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Publication search results
found 35 matches
- 2024
- Michael Noseworthy, Seiji Shaw, Chad C. Kessens, Nicholas Roy:
Amortized Inference for Efficient Grasp Model Adaptation. ICRA 2024: 1886-1892 - W. Spencer Smith, Ao Dong, Jacques Carette, Michael D. Noseworthy:
State of the Practice for Medical Imaging Software. CoRR abs/2405.12171 (2024) - Michael Noseworthy, Bingjie Tang, Bowen Wen, Ankur Handa, Nicholas Roy, Dieter Fox, Fabio Ramos, Yashraj S. Narang, Iretiayo Akinola:
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty. CoRR abs/2408.04587 (2024) - 2023
- Calvin Zhu, Michael D. Noseworthy, Thomas E. Doyle:
Addressing Dataset Shift for Trustworthy Deep Learning Diagnostic Ultrasound Decision Support. Trans. Comput. Sci. 40: 110-128 (2023) - Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - Emily Liu, Michael Noseworthy, Nicholas Roy:
Structured Latent Variable Models for Articulated Object Interaction. CoRR abs/2305.16567 (2023) - Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka:
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. CoRR abs/2312.08715 (2023) - 2022
- David Chen, Huzefa M. Bhopalwala, Nakeya Dewaswala, Shivaram Poigai Arunachalam, Moein Enayati, Nasibeh Zanjirani Farahani, Kalyan Pasupathy, Sravani Lokineni, J. Martijn Bos, Peter A. Noseworthy, Reza Arsanjani, Bradley J. Erickson, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson:
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging 8(5): 149 (2022) - Calvin Zhu, Thomas E. Doyle, Michael D. Noseworthy:
Ultrasound Operator Variance Classification for Agency in Artificial Intelligence Support of Cyber-Physical Systems. CCECE 2022: 446-451 - Thomas E. Doyle, Aisling Kelliher, Reza Samavi, Barbara Barry, Steven J. Yule, Sarah Parker, Michael D. Noseworthy, Qian Yang:
Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics (AAAI-HUMAN 2021), Virtual Event, November 4-6, 2021. CEUR Workshop Proceedings 3068, CEUR-WS.org 2022 [contents] - Thomas E. Doyle, Victoria Tucci, Calvin Zhu, Yifei Zhang, Basem Yassa, Sajjad Rashidiani, Md. Asif Khan, Reza Samavi, Michael D. Noseworthy, Steven J. Yule:
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems. CoRR abs/2210.09086 (2022) - 2021
- Michael Noseworthy, Isaiah Brand, Caris Moses, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. Robotics: Science and Systems 2021 - Michael Noseworthy, Caris Moses, Isaiah Brand, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. CoRR abs/2107.00683 (2021) - 2020
- Alejandro Santos-Díaz, Michael D. Noseworthy:
Phosphorus magnetic resonance spectroscopy and imaging (31P-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. Biomed. Signal Process. Control. 60: 101967 (2020) - Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Visual Prediction of Priors for Articulated Object Interaction. ICRA 2020: 10480-10486 - Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Visual Prediction of Priors for Articulated Object Interaction. CoRR abs/2006.03979 (2020) - 2019
- Subhro Roy, Michael Noseworthy, Rohan Paul, Daehyung Park, Nicholas Roy:
Leveraging Past References for Robust Language Grounding. CoNLL 2019: 430-440 - Michael Noseworthy, Rohan Paul, Subhro Roy, Daehyung Park, Nicholas Roy:
Task-Conditioned Variational Autoencoders for Learning Movement Primitives. CoRL 2019: 933-944 - Daehyung Park, Michael Noseworthy, Rohan Paul, Subhro Roy, Nicholas Roy:
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning. CoRL 2019: 1005-1014 - Katherine Zukotvnski, Vincent C. Gaudet, Phillip Kuo, Sabrina Adamo, Maged Goubran, Christian Bocti, Michael Borrie, Howard Chertkow, Richard Frayne, Robin Hsiung, Robert Laforce Jr., Michael D. Noseworthy, Frank S. Prato, Jim D. Sahlas, Christopher Scott, Eric E. Smith, Vesna Sossi, Alexander Thiel, Jean-Paul Soucy, Jean-Claude Tardif, Sandra E. Black:
Non-Binary Approaches for Classification of Amyloid Brain PET. ISMVL 2019: 206-211 - 2018
- Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau:
The RLLChatbot: a solution to the ConvAI challenge. CoRR abs/1811.02714 (2018) - 2017
- Mark Mikkelsen, Peter B. Barker, Pallab K. Bhattacharyya, Maiken K. Brix, Pieter F. Buur, Kim M. Cecil, Kimberly L. Chan, David Y.-T. Chen, Alexander R. Craven, Koen Cuypers, Michael Dacko, Niall W. Duncan, Ulrike Dydak, David A. Edmondson, Gabriele Ende, Lars Ersland, Fei Gao, Ian Greenhouse, Ashley D. Harris, Naying He, Stefanie Heba, Nigel Hoggard, Tun-Wei Hsu, Jacobus F. A. Jansen, Alayar Kangarlu, Thomas Lange, R. Marc Lebel, Yan Li, Chien-Yuan Lin, Jy-Kang Liou, Jiing-Feng Lirng, Feng Liu, Ruoyun Ma, Celine Maes, Marta Moreno-Ortega, Scott O. Murray, Sean Noah, Ralph Noeske, Michael D. Noseworthy, Georg Oeltzschner, James J. Prisciandaro, Nicolaas A. J. Puts, Timothy P. L. Roberts, Markus Sack, Napapon Sailasuta, Muhammad G. Saleh, Michael-Paul Schallmo, Nicholas Simard, Stephan P. Swinnen, Martin Tegenthoff, Peter Truong, Guangbin Wang, Iain D. Wilkinson, Hans-Jörg Wittsack, Hongmin Xu, Fuhua Yan, Chencheng Zhang, Vadim Zipunnikov, Helge J. Zöllner, Richard A. E. Edden:
Big GABA: Edited MR spectroscopy at 24 research sites. NeuroImage 159: 32-45 (2017) - Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau:
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. ACL (1) 2017: 1116-1126 - Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau:
Towards an automatic Turing test: Learning to evaluate dialogue responses. ICLR (Workshop) 2017 - Michael Noseworthy, Jackie Chi Kit Cheung, Joelle Pineau:
Predicting Success in Goal-Driven Human-Human Dialogues. SIGDIAL Conference 2017: 253-262 - Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau:
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. CoRR abs/1708.07149 (2017) - 2016
- Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau:
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. EMNLP 2016: 2122-2132 - Ryan Lowe, Iulian Vlad Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau:
On the Evaluation of Dialogue Systems with Next Utterance Classification. SIGDIAL Conference 2016: 264-269 - Chia-Wei Liu, Ryan Lowe, Iulian Vlad Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau:
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. CoRR abs/1603.08023 (2016)
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