Before I joined Oxford, I spent 2 amazing years as a Research Fellow at Microsoft Research India, where I worked with Dr. Navin Goyal. Prior to that, I spent a wonderful semester working with Dr. Partha Talukdar in the Indian Institute of Science. I (used to) occasionally solve problems on websites like Kaggle and answer questions on stats.stackexchange forum. I graduated with B.E. (Hons.) in Computer Science and Int. M.Sc. (Hons.) in Biological Science from BITS Pilani, India in 2019. For more details, refer to my CV or drop me an email.
Separations in the Representational Capabilities of Transformers and Recurrent Architectures
, Michael Hahn, Phil Blunsom, Varun Kanade
NeurIPS 2024
pdf
abstract
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
, Arkil Patel, Phil Blunsom, Varun Kanade
ICLR 2024 Oral
pdf
code
abstract
On the Ability and Limitations of Transformers to Recognize Formal Languages
, Kabir Ahuja, Navin Goyal
EMNLP 2020
pdf
code
abstract
On the Practical Ability of RNNs to Recognize Hierarchical Languages
Best Short Paper Award
, Kabir Ahuja, Navin Goyal
COLING 2020
pdf
code
abstract
LibNMF
An easy to use python library with implementations of a set of tested optimization and regularization methods of NMF. Implemented Algorithms include graph regularized NMF, probabilistic NMF, a first-order primal-dual algorithm ...etc
Github
PyDPP
A python package available in pip with modules for sampling from Determinantal Point Processes (DPP). Contains implementations of algorithms to sample from DPPs that encourage diversity in the selection of a subset of points from a grounded superset.
Github
- Fall 2023: Departmental Tutor for Computational Learning Theory
- Fall 2022: Departmental Tutor for Computational Learning Theory
- Spring 2018: Teaching assistant for Neural Networks and Fuzzy Logic
