Raghav Singhal

According to our database, Raghav Singhal authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction.

Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto

Proceedings of the Forty-first International Conference on Machine Learning, 2024

What's the score? Automated Denoising Score Matching for Nonlinear Diffusions.

Raghav Singhal, Mark Goldstein, Rajesh Ranganath

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Gecko adhesion based sea star crawler robot.

Sampada Acharya, Peter Roberts, Tejas Rane, Raghav Singhal, Peize Hong, Viraj Ranade, Carmel Majidi, Victoria A. Webster-Wood, B. Reeja-Jayan

Frontiers Robotics AI, October, 2023

Enhanced regularization for on-chip training using analog and temporary memory weights.

Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly

Neural Networks, August, 2023

Comprehensive study of forced convection over a heated elliptical cylinder with varying angle of incidences to uniform free stream.

Raghav Singhal, Sailen Dutta, Jiten C. Kalita

CoRR, 2023

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease.

Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra

CoRR, 2023

Translation and Scale Invariance for Event-Based Object tracking.

Jens Egholm Pedersen, Raghav Singhal, Jörg Conradt

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions.

Raghav Singhal, Mark Goldstein, Rajesh Ranganath

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

An efficient explicit jump HOC immersed interface approach for transient incompressible viscous flows.

Raghav Singhal, Jiten C. Kalita

CoRR, 2022

2021

A Novel HOC-Immersed Interface Approach For Elliptic Problems.

Raghav Singhal, Jiten C. Kalita

CoRR, 2021

2019

Kernelized Complete Conditional Stein Discrepancy.

Raghav Singhal, Saad Lahlou, Rajesh Ranganath

CoRR, 2019