Researchers of Note

Note: This is a list of researchers that I wanted to keep track of, and I thought it would be useful for others to make it public. This list is certainly not comprehensive, and will certainly grow over time. Inclusion/exclusion of researchers on/from this list should not be considered a value judgement. Names are arranged in canonical ¯_(ツ)_/¯ order.

If you feel strongly that a certain researchers should be included in this list, feel free to contact me and I may add them. Also, please let me know if any of these links break.

Geometric Deep Learning

• Taco Cohen
• Michael Bronstein
• Petar Veličkovć
• Thomas Kipf
• Max Welling
• Hannes Stärk

Topological Deep Learning

• Mustafa Hajij

Ensemble Methods

• Kilian Weinberger

Implicit Bias in Deep Learning

• Ziwei Ji
• Matus Telgarsky
• Daniel Soudry

Others/Random

• Andrej Karpathy

Colleagues

• Daniel Briseno (Quantum Computing)
• Alexander Kurz (Logic/Category Theory)
• Andrew Moshier (Topology)
• Yutong Wang (Overparameterized Machine Learning)
• Yilun Zhu (Weakly Supervised Learning)
• Noah Curran (Embedded Security)
• Clayton Scott (Statistical Learning)
• Angela Violi (Computational Nanochemistry)
• Paolo Elvati (Computational Nanochemistry)
• Jacob Saldinger (Applied ML in Nanochemistry)
• Zhongming Liu (Biomodical Computation and Modeling)