Interests

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Artificial General Intelligence

Choong-Shik Park, Constructive Artificial Intelligence, Professor in U1 (Youngdong) University.

Ben Goertzel, SingularityNET and OpenCog.

Gary Marcus, NYU Prof Emeritus and RobustAI Founder.

Artur d’Avila Garcez, Professor of Computer Science at City, University of London.

Melanie Mitchell, Davis Professor, Santa Fe Institute.

Eliezer Yudkowsky, Machine Intelligence Research Institute (MIRI).

  • https://www.youtube.com/watch?v=AaTRHFaaPG8

Neural-symbolic Learning

Neural-Symbolic Learning and Reasoning(NeSy), NeSy association.

Neuro-Symbolic AI, IBM.

Advances in Neuro-Symbolic AI — IBM Seminar Series, IBM.

Explainable and Interpretable Machine Learning

Prof. Finale Doshi-Velez, Harvard University.

Prof. Himabindu Lakkaraju, Trustworthy ML Initiative (TrustML), Harvard University.

Prof. Zeynep Akata, University of Tübingen.

Dr. Been Kim, Google Brain.

Online Machine Learning

Prof. Shai Shalev-Shwartz, The Hebrew University.

Dr. Mohammad Emtiyaz Khan, Approximate Bayesian Inference, RIKEN.

Optimization

Prof. Nicolò Cesa-Bianchi, University of Milan (Università degli Studi di Milano).

Lectures

Interpretability and Explainability in Machine Learning by Hima Lakkaraju

Explainable ML: Understanding the Limits and Pushing the Boundaries by Hima Lakkaraju

Bayesian principles for Learning-Machines, [Slides] by Mohammad Emtiyaz Khan

Explainable Machine Learning by Zeynep Akata

Papers

Explanations can be manipulated and geometry is to blame, NIPS 2019.

Books

Bill Bryson, The Body: A Guide for Occupants