Michelle Lin

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Micah CarrollPhD student, UC BerkeleyVerified email at berkeley.edu
Lauro LangoscoUniversity of CambridgeVerified email at cam.ac.uk
Katherine M. CollinsMachine Learning PhD Student at the University of CambridgeVerified email at cam.ac.uk
Nitarshan RajkumarUniversity of CambridgeVerified email at cam.ac.uk
Maryam MolamohammadiMila (Quebec AI Institute)Verified email at mila.quebec
Yawen DuanUniversity of CambridgeVerified email at cam.ac.uk
Wanru ZhaoUniversity of Cambridge, Vector InstituteVerified email at cam.ac.uk
Konstantinos VoudourisPostdoctoral Research Scientist, Helmholtz MunichVerified email at helmholtz-munich.de
John BurdenUniversity of CambridgeVerified email at cam.ac.uk
Shalaleh RismaniPhD candidateVerified email at mail.mcgill.ca
David Scott KruegerUniversity Assistant Professor, University of CambridgeVerified email at cam.ac.uk
Tegan MaharajAssistant Professor at MilaVerified email at polymtl.ca
Alan ChanCentre for the Governance of AI; Mila, Université de MontréalVerified email at mila.quebec
Roberto VerdecchiaAssistant Professor (Tenure Track), University of FlorenceVerified email at unifi.it
Estelle HotellierNaval Group (Naval Cyber Laboratory), Univ. Grenoble Alpes, Inria, LIGVerified email at inria.fr
June SallouAssistant Professor, Wageningen University & ResearchVerified email at wur.nl
Luís CruzDelft University of TechnologyVerified email at tudelft.nl
Harshit GujralUniversity of Toronto, Department of Computer ScienceVerified email at cs.toronto.edu
Christina BremerLancaster UniversityVerified email at lancaster.ac.uk
Rebecca SalganikUniversity of Rochester

Michelle Lin

McGill University, Mila - Quebec AI Institute

Verified email at mila.quebec - Homepage

climate change mitigation and adaptation AI fairness and ethics deep learning applications


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Evaluating the social impact of generative ai systems in systems and society I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, C Chen, ... arXiv preprint arXiv:2306.05949, 2023	99	2023
Harms from Increasingly Agentic Algorithmic Systems A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ... https://arxiv.org/abs/2302.10329, 2023	65	2023
Data-centric green ai an exploratory empirical study R Verdecchia, L Cruz, J Sallou, M Lin, J Wickenden, E Hotellier 2022 international conference on ICT for sustainability (ICT4S), 35-45, 2022	58	2022
John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, and Tegan Maharaj. 2023. Harms from Increasingly Agentic … A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	22	2023
How viable are energy savings in smart homes? A call to embrace rebound effects in sustainable HCI C Bremer, H Gujral, M Lin, L Hinkers, C Becker, VC Coroamă ACM Journal on Computing and Sustainable Societies 1 (1), 1-24, 2023	10	2023
Improving ecological connectivity assessments with transfer learning and function approximation MD Catchen, M Lin, T Poisot, D Rolnick, A Gonzalez EcoEvoRxiv, 2023	1	2023
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery P Seth, M Lin, BD Yaw, J Boutot, M Kang, D Rolnick arXiv preprint arXiv:2410.09032, 2024		2024
Detecting Abandoned Oil And Gas Wells Using Machine Learning And Semantic Segmentation M Lin, D Rolnick https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/neurips2021/64 …, 2021		2021

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