@Saif_M_Dhrubo @GeorgiaTech Congratulations!! Best wishes for the next journey!
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Kashob Roy
93 posts
if interested in pattern mining, feel free to download our journal article on sequential pattern mining from this freely accessible link (within Dec 18, 2021):
After 2.5 years of rigorous journey, we (with Hasibul Haque Moon) h…lnkd.in/gnf2HBqN lnkd.in/gfDcR-id
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Kashob Roy 리트윗함
As @NeurIPSConf #NeurIPS2021 deadline approaches, I've consolidated some technical writing tips.
Succinct answers to each of the questions,
Voila, you have a crisp Introduction!
Expand on prior work, intuition/tech details, & expts for the rest ensuring the why is always clear
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Kashob Roy 리트윗함
Kashob Roy 리트윗함
The recording of my talk on Theoretical Foundations of Graph Neural Networks is now live (+slides in desc.)! 🕸️
Join me as I derive GNNs from first principles, motivate their use in the sciences, and explain how they emerged along several research lines.
youtube.com/watch?v=uF53xs…
YouTube
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I'm delighted to share that our (me and @TanjidTonmoy) paper "Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition" has been accepted to #PAKDD2021 @pakdd_social. Paper and code will be available very soon.
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05/02-08/02. Endlessly growing ☹️
Kashob Roy@forkkr
28/01-15/05-14/10-14/10-11/12. Can’t take it anymore.
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@ImMuntasir @virginia_tech @VT_CS Big Big Congratulations Bhai.! had seen the toughest race to get a slot for visa interview. Couldn't imagine the patience of those guys who were going through that days.
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I am joining @virginia_tech as a Ph.D. (@VT_CS) student from this semester. Although I was supposed to start my study in the Fall 2019 semester, I had to defer due to the pandemic.
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To me it’s a terrible year, except for January because of having done with undergrad & had a Rag Tour. Apart from that, Nothing good happened at all. Finally it’s over. Looking forward to having great years ahead. “Leave all negatives behind, take with all positives onwards.”
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Kashob Roy 리트윗함
My book recommendations for #Bayesian analysis:
• Kevin Murphy: probml.github.io/pml-book/book1…
• David MacKay: inference.org.uk/mackay/itila/
• David Barber: web4.cs.ucl.ac.uk/staff/D.Barber…
• Chris Bishop: microsoft.com/en-us/research…
All free online. Of course buy them if you can afford it 🙂
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Michael Bronstein@mmbronstein
In summer 2020, I started writing a blog on #GraphML in @TDataScience towardsdatascience.com/graph-deep-lea… It was a new and rewarding experience, from which I learned a lot. I was surprised that such a technical topic would attract >200K views and >6K claps in less than half a year.
QHT
Kashob Roy 리트윗함
📘 The draft 2021 edition of Kevin Murphy's comprehensive machine learning book is out now.
Along with a shiny new graph embeddings section (V.23) wonderfully curated by @phanein! Should be a wonderful read :)
probml.github.io/pml-book/book1…
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Kashob Roy 리트윗함
997-page book "Dive into #DeepLearning" teaches the ideas, #mathematics, and #coding that power it.
Learn more: bit.ly/3nbWf9c
★★★★FREE Download: d2l.ai/d2l-en.pdf
#BigData #DataScience #AI #MachineLearning #Algorithms #NeuralNetworks #DataScientists #Python
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A good blog post to read.
Maithra Raghu@maithra_raghu
New blog post: "Reflections on my (Machine Learning) PhD Journey" maithraraghu.com/blog/2020/Refl… 2020 has marked the end of my six year PhD journey, filled with struggles, success and evolution of personal & research perspectives. In the post I share experiences and lessons learned ⬇️
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