Publications

Differentiable Spline Approximation
Minsu Cho*, Aditya Balu*, Ameya Joshi, Anjana Deva Prasad, Biswajit Khra, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
In Proceedings of the Neural Information Processing Systems (NeurIPS), Dec 2021. Paper

Sphynx: ReLU-Efficient Network Design for Private Inference
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Preprint, June 2021. Paper

ESPN: Extremely Sparse Pruned Networks
Minsu Cho, Ameya Joshi, Chinmay Hegde
IEEE Data Science and Learning Workshop (DSLW), June 2021. Paper Arxiv Paper Code

One-Shot Neural Architecture Search via Compressive Sensing
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
International Conference on Learning Representation Workshop on Neural Architecture Search, May 2021.
Paper

Differentiable Programming for Piecewise Polynomial Functions
Minsu Cho*, Ameya Joshi*, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Soumik Sarkar, Chinmay Hegde
Neurips Workshop: Learning Meets Combinatorial Algorithm, Dec 2020. Paper

InvNet: Encoding Invariances with Deep Generative Models
Ameya Joshi*, Minsu Cho*, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
AAAI Conference on Artifical Intelligence, 2020
Paper Supplementary
Code

Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity
Minsu Cho, Chinmay Hegde
International Conference on Accoustics, Speech, and Signal Processing, May 2019.
Paper

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
Preprint, June 2020. Paper