Blog

In addition to research, I am deeply passionate about writing and communicating ideas in accessible digital formats targetted at both research audiences and the general public. This blog hosts my reflections on past projects and experiences.

An archive of older blogposts can be found here.

Recent Advances in Efficient and Scalable Graph Neural Networks
An overview of papers on efficient Graph Neural Networks and scalable Graph Representation Learning for real-world applications.
Chaitanya K. Joshi
Last updated on Mar 14, 2022 15 min read
Cite Related Paper GitHub Tweet
Recent Advances in Efficient and Scalable Graph Neural Networks
Recent Advances in Deep Learning for Routing Problems
We characterize recent advances in deep learning for routing problems via a unified Neural Combinatorial Optimization pipeline and provide new directions to stimulate future research. (Also published at the inaugural ICLR 2022 Blog Track)
Chaitanya K. Joshi, Rishabh Anand
Jan 12, 2022 20 min read
Cite Slides Video ICLR Blog Track Related Paper Tweet
Recent Advances in Deep Learning for Routing Problems
PhD Application Advice for Machine Learning and Artificial Intelligence
A repository of high-quality resources that helped me understand the ML/AI PhD Application process and craft my application better.
Chaitanya K. Joshi
Oct 3, 2021 3 min read
Twitter Thread
PhD Application Advice for Machine Learning and Artificial Intelligence
Transformers are Graph Neural Networks
Exploring the connection between Transformer models such as GPT and BERT for Natural Language Processing, and Graph Neural Networks. (80,000+ readers on The Gradient, featured in Probabilistic ML textbook and classes at Stanford, Cambridge, Oxford.)
Chaitanya K. Joshi
Last updated on Jun 21, 2021 12 min read
Cite Slides The Gradient Towards Data Science Stanford CS224W Cambridge L45 Probabilistic ML textbook
Transformers are Graph Neural Networks
Community: NTU Valedictorian Speech
My Valedictorian speech at the NTU Convocation 2019
Chaitanya K. Joshi
Last updated on Jul 31, 2019 5 min read
Video Livestream Article Medium
Community: NTU Valedictorian Speech
Neural Combinatorial Optimization
Can Neural Networks learn to solve NP-hard optimization problems in scheduling, transportation, and supply chain directly without human handcrafting?
Chaitanya K. Joshi
Last updated on Dec 24, 2021 4 min read
Neural Combinatorial Optimization
Spatial Graph Convolutional Networks
An introduction to deep learning on graphs and geometric data with Graph Neural Networks.
Chaitanya K. Joshi
Last updated on Jun 19, 2021 4 min read
Spatial Graph Convolutional Networks
Does AI need Innate Conceptual Primitives
The legendary Rationalism versus Empiricism debate for building Artificially Intelligent systems.
Chaitanya K. Joshi
Apr 23, 2019 10 min read
PDF
Does AI need Innate Conceptual Primitives
Research Internship at SAP Machine Learning
From machine learning research to real-world systems handling over € 200 Million Euro in annual sales pipeline.
Chaitanya K. Joshi
Jun 1, 2018 7 min read
Website Medium
Research Internship at SAP Machine Learning
iNTUition: NTU's Annual Hackathons
Organizing IEEE NTU Student Chapter’s Annual Hackathon series
Chaitanya K. Joshi
Oct 15, 2017 2 min read
iNTUition Website Suyash's Blogpost
iNTUition: NTU's Annual Hackathons