CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion. - Maitreya Patel; Mirali Purohit; Jui Shah; Hemant A. Patil (EUSIPCO, 2020)

Weak Speech Supervision: A case study of Dysarthria Severity Classification. - Mirali Purohit; Mihir Parmar; Maitreya Patel; Harshit Malaviya; Hemant A. Patil (EUSIPCO, 2020)

Intelligibility Improvement of Dysarthric Speech using MMSE DiscoGAN. - Mirali Purohit; Maitreya Patel; Harshit Malaviya; Ankur T. Patil; Mihir Parmar; Nirmesh J. Shah; Savan Doshi; Hemant A. Patil (SPCOM, 2020)

Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments. - Siddhant Gupta; Ankur T. Patil; Mirali Purohit; Mihir Parmar; Maitreya Patel; Hemant A. Patil; Rodrigo Capobianco Guido (Neural Networks, 2021)

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Atharva Naik; Arjun Ashok; Arut Selvan Dhanasekaran; Anjana Arunkumar; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (EMNLP, 2022)

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. - Mihir Parmar; Swaroop Mishra; Mirali Purohit; Man Luo 003; Murad Mohammad; Chitta Baral (NAACL-HLT (Findings), 2022)

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. - Mihir Parmar; Swaroop Mishra; Mirali Purohit; Man Luo 003; M. Hassan Murad; Chitta Baral (CoRR, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Automated Multi-class Crater Segmentation in Mars Orbital Images. - Shrey Malvi; Hitansh Shah; Niketan Chandarana; Mirali Purohit; Jacob B. Adler; Hannah Kerner (GeoAI@SIGSPATIAL, 2023)

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries. - Gabriel Tseng; Ivan Zvonkov; Mirali Purohit; David Rolnick; Hannah Kerner (CoRR, 2023)

ConeQuest: A Benchmark for Cone Segmentation on Mars. - Mirali Purohit; Jacob B. Adler; Hannah Kerner (WACV, 2024)

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models? - Mirali Purohit; Gedeon Muhawenayo; Esther Rolf; Hannah Kerner (CoRR, 2025)