I am an incoming PhD student in Computer Science at Stanford University. I spent a lovely last year learning from Prof. Zachary Lipton as a visiting researcher at Carnegie Mellon University. Before that, I was an undergrad at IIT Delhi where I was fortunate to work with Profs. Mausam, Parag Singla, Sayan Ranu, and Subodh Sharma. I research deep learning, seeking to help it develop into a mature science and engineering discipline. In my past work, I have enjoyed forays into learning from noisy data, neuro-symbolic AI, graph ML and program analysis.
news
Sep 2023
started my PhD at Stanford
Jul 2023
this webpage is live
publications
(* denotes equal contribution)
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 paper
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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 paper
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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 paper
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