Jayanta Dey

[New Submissions to TMLR @TmlrSub]

Simple Calibration via Geodesic Kernels

https://t.co/P4tCj7wZx8

#classification #deep #forests

[Jayanta Dey @_jayanta_dey_]

The more I realize the things I think I understand are limited by the things I thought I understood so far, the more I get confused whether I really understand anything!!!

[Ben Pedigo @bpedigod]

Our work studying the connectome of an insect brain, that of a Drosophila larva, is out today in Science! https://t.co/GWx4HSSIVr Some highlights below and in @WindingMichael’s thread. Work with @neuro_data, Carey Priebe, @albertcardona, @ZlaticLab, and many others.

[Mia Seppo @MiaSeppo]

Recent attacks on Hindus in🇧🇩 fueled by hate speech on social media, are against the values of the Constitution and need to stop. We call upon Government to ensure protection of minorities and an impartial probe. We call upon all to join hands to strengthen inclusive tolerant🇧🇩

[Eric @bridgen3rd]

What are batch effects, how are they problematic, and what can we do about them? Where are the shortcomings in our existing understandings of batch effects, and how can we better aggregate data across sites? @neuro_data @MilhamMichael @g_kiar 1/11 https://t.co/7Bt3VgQHrR

[Haoyin Xu @HaoyinXu]

“When are Deep Networks really better than Random Forests at small sample sizes?” Posted preliminary works on RF vs DN comparisons across tabular, image, and audio domains. With Michael Ainsworth, Yu-Chung Peng, Madi Kusmanov, @bitapanda and @neuro_data https://t.co/iL0NB74N8O

[Russell Brand @rustyrockets]

❤️

[GitHub Status @githubstatus]

We continue working on the recovery of our services. https://t.co/vxT4PuMKj4