Listen along as we try and dissect various Machine Learning papers that just haven't got the love and attention they deserve.Twitter: https://twitter.com/underrated_mlVoting Page: https://forms.gle/97MgHvTkXgdB41TC8
Oxford University
Henry Rzepa
SigOpt
Cambridge University
ACD/Labs
MCASD: Museum of Contemporary Art San Diego
Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
MCMP Team
Sean Welleck
Aaron Stump
Cambridge University
Valence Discovery
Gudrun Thäter, Sebastian Ritterbusch
MCMP Team
Lukas
Allen Institute for Artificial Intelligence
insideQuantum
Machine Learning Street Talk
College of Engineering
Cambridge University
Data Skeptic
Kyle Polich
Intermation
Immanuel Mukori
Joseph M. Cychosz
Yannic Kilcher
MCMP Team
The Joint Quantum Institute
MCMP Team
Breaking Math
Paul Middlebrooks
Axiomise
MCMP Team
University of Wisconsin Sea Grant Institute
Dongjin Seo
Damien Deighan and Philipp Diesinger
Prof. Dr. Florian Marquardt
Prof. Dr. Florian Marquardt
Prof. Dr. Florian Marquardt
The Digital Life
LessWrong
Cambridge University
Hamilton Institute
Cambridge University
Founders Fund
Eric Normand
None
Honesty Is Best
ASME Podcasts
Wojciech Wegrzynski
molpigs
Sahana Shankar
None
Arvind Ravichandran
Hamilton Institute
Emil Björnson, Erik G. Larsson
Khalil G. Haddad
Alicia Botes
Many Body Physics
Changelog Media
Cambridge University
American Mathematical Society
MRS Bulletin
Logan Chipkin
Francesco Gadaleta
Lakeside Labs
Ben Jaffe and Katie Malone
Lakeside Labs
AutoML Media
Itzik Ben-Shabat
Nicholas Carah
TMCS - University of Oxford
London Futurists
Wolfram Research
Bhuvan Bagwe
Oxford University
Ryan Singer
Rob
Harry Dankowicz
Purdue NSAC
106.3 FM DANHS Radio
Daniel Mercado
Rakhim Davletkaliyev
None
Bryan Stanley & Huey-Wen Lin
Lakeside Labs
None
Roland Pöllinger
None
Dr. Nels Lindahl
Sebastian Hassinger & Kevin Rowney
STEMEncounters
Jean-Claude Bradley
Oxford University
James Fodor
Kimberly Gonzalez
Felix Holmgren
The Nonlinear Fund
Kris Villez and Jörg Rieckermann