Publication List
In the field of machine learning, publishing in conferences is the norm. Top conferences includes NeurIPS (prev. NIPS), ICML, ICLR, AISTATS, UAI, and others. They are peer-reviewed and highly competitive.
The first or joint-first author (the latter is marked with a '*') of a paper is the lead author. The last or joint-last author is usually the one who came up with the idea and directed the project. They are all considered to be the core authors of the paper.
Conference
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Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim G J Rudner, David Ruegammer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Journal
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Generative AI for the Design of Molecules: Advances and Challenges
Yan Sun, Lianghong Chen, Zihao Jing, Yan Yi Li, Dongkyu Kim, Jing-Yan Gao, Reza Noroozi, Grace Yi, Conrard Tetsassi Feugmo, Anna Klinkova, Kyla Sask, Agustinus Kristiadi, Boyu Wang, Elizabeth Gillies, Kun Ping Lu, HaoTian Harvey Shi, Pingzhao Hu
Workshop
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What Actually Matters for Materials Discovery: Pitfalls and Recommendations in Bayesian Optimization
Tristan Cinquin, Stanley Lo, Felix Strieth-Kalthoff, Alan Aspuru-Guzik, Geoff Pleiss, Robert Bamler, Tim G. J. Rudner, Vincent Fortuin, Agustinus Kristiadi