Generative Science: Roles for Generative AI in Scientific Discovery
The Spectator
by shakirm
4M ago
Keynote at the AI for Science Summit hosted by Accelerate Programme for Scientific Discovery. Video TBC. Hello and thank you for having me today. I love coming back to Cambridge so it’s a real treat for me to be here today ..read more
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Machine Learning with Social Purpose
The Spectator
by shakirm
9M ago
Keynote for the 40th International Conference on Machine Learning (ICML 2023). Links to the Video (requires login till Sep 2023), and Slides (pdf, 30MB). Abstract: This talk talk has a single objective: to advocate for machine learning infused with social ..read more
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Elevating our Evaluations: Technical and Sociotechnical Standards of Assessment in Machine Learning
The Spectator
by shakirm
1y ago
Keynote for AISTATS 2023 in Valencia. You can find the slides here. Video coming soon. Abstract: Evaluation in Machine Learning does not always get the attention it deserves. I hope to focus our attention for the time of this talk ..read more
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Generative Models for Climate Informatics
The Spectator
by shakirm
1y ago
Keynote at Climate Informatics on 19 April 2023 in Cambridge. Abstract: Generative models are probabilistic models of data that allow easy sampling and exploration of a data distribution using a learned model. In fields, like environment and climate, where access ..read more
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Harnessing Machine Learning to Achieve Net Zero
The Spectator
by shakirm
2y ago
A Talk for the 2021 ICML Workshop on Tackling Climate Change with AI. I am extremely grateful to the organisers for the invitation. This is the text of the talk and also has links to the video. Hello everyone and ..read more
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Generating Reality: Technical and Social Explorations in Generative Machine Learning Research
The Spectator
by shakirm
2y ago
An Invited Talk for NACCL-HLT 2021, 8 June 2021. I am extremely grateful to the organisers for the invitation, and a special thanks to Prof. Luke Zettlemoyer who hosted the Q&A session that was so much fun. This is the ..read more
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Inventing Ourselves: Responsibility and Diversity in Research
The Spectator
by shakirm
2y ago
This piece was a contribution to the wonderful book by Gavin Brown, Chapter X in How to Get Your PhD: A Handbook for the Journey (OUP, 2021). It shares one view on how we, as scientists, can respond to diversity and inclusion, and hopefully interesting to everyone (beyond the early-career scientist). A letter to the new research student. You are entering a world of knowledge and research that is constantly changing. For so many of us, that is its allure. Yet, for all our investigations into the natural, informational, mechanistic, or structural world, nature does not shape the world of ..read more
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Pain and Machine Learning
The Spectator
by shakirm
2y ago
Was so excited to get this opportunity to talk about pain and learning at the NeurIPS2020 Workshop on Biological and Artificial RL. This is the text of the talk. Collaboration with Daniel Ott. ?Watch the video here; ? slides here; ? paper ..read more
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Through the Eyes of Birds and Frogs: Writing and Surveys in Machine Learning Research
The Spectator
by shakirm
2y ago
Savoured the opportunity to talk about writing surveys and reviews at the NeurIPS2020 Workshop on ML Retrospectives, Surveys & Meta-Analyses (ML-RSA) This is the text of the talk. ?Watch the video here and ? slides here Hello! My name is ..read more
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Imaginations of Good, Missions for Change
The Spectator
by shakirm
2y ago
Was grateful to be given the opportunity to support the 2020 TechAide AI4Good conference. This is the text of the talk. You can find the video here. Greetings! It’s so  great to be with you here today as part of ..read more
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