Raghav Singhal

Orcid: 0000-0002-2104-8068

According to our database1, Raghav Singhal authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models.
CoRR, January, 2025

2024
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning.
CoRR, 2024

Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models.
CoRR, 2024

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification.
CoRR, 2024

Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines.
Proceedings of the International Conference on Neuromorphic Systems, 2024

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

What's the score? Automated Denoising Score Matching for Nonlinear Diffusions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Gecko adhesion based sea star crawler robot.
Frontiers Robotics AI, October, 2023

Enhanced regularization for on-chip training using analog and temporary memory weights.
Neural Networks, August, 2023

Comprehensive study of forced convection over a heated elliptical cylinder with varying angle of incidences to uniform free stream.
CoRR, 2023

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease.
CoRR, 2023

Translation and Scale Invariance for Event-Based Object tracking.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
An efficient explicit jump HOC immersed interface approach for transient incompressible viscous flows.
CoRR, 2022

2021
A Novel HOC-Immersed Interface Approach For Elliptic Problems.
CoRR, 2021

2019
Kernelized Complete Conditional Stein Discrepancy.
CoRR, 2019


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