rishabh ranjan
I am a first-year PhD student in Computer Science at Stanford University, advised by Prof. Jure Leskovec .
I have also been fortunate to work with Prof. Carlos Guestrin .
Before this, I spent a lovely year learning under Prof. Zachary Lipton as a visiting researcher at Carnegie Mellon University.
I did my undergrad in CS at IIT Delhi,
where I was fortunate to work with Profs. Mausam , Parag Singla , Sayan Ranu , and Subodh Sharma .
news
pre-prints
(* denotes equal contribution)
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan , Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Lipton
arXiv preprint, 2024
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publications
(* denotes equal contribution)
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
Matthias Fey*, Weihua Hu*, Kexin Huang*, Jan Eric Lenssen*, Rishabh Ranjan* , Joshua Robinson*, Rex Ying, Jiaxuan You, Jure Leskovec
International Conference on Machine Learning (ICML), 2024
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A Solver-Free Framework for Scalable Learning in Neural ILP Architectures
Yatin Nandwani*, Rishabh Ranjan* , Mausam, Parag Singla
Advances in Neural Information Processing Systems (NeurIPS), 2022
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GREED: A Neural Framework for Learning Graph Distance Functions
Rishabh Ranjan , Siddharth Grover, Sourav Medya, Venkatesan Chakaravarthy, Yogish Sabharwal, Sayan Ranu
Advances in Neural Information Processing Systems (NeurIPS), 2022
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Exploiting Epochs and Symmetries in Analysing MPI Programs
Rishabh Ranjan , Ishita Agrawal, Subodh Sharma
IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022
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