Mirali Purohit

Orcid: 0009-0009-0354-4920

According to our database1, Mirali Purohit authored at least 15 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance.
CoRR, April, 2026

MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications.
CoRR, April, 2026

2025
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
CoRR, January, 2025

Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
ConeQuest: A Benchmark for Cone Segmentation on Mars.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.
CoRR, 2023

Automated Multi-class Crater Segmentation in Mars Orbital Images.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

2022
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.
CoRR, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.
CoRR, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022


2021
Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments.
Neural Networks, 2021

2020
Intelligibility Improvement of Dysarthric Speech using MMSE DiscoGAN.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Weak Speech Supervision: A case study of Dysarthria Severity Classification.
Proceedings of the 28th European Signal Processing Conference, 2020

CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion.
Proceedings of the 28th European Signal Processing Conference, 2020


  Loading...