Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data. - Kumud Lakara; Akshat Bhandari; Pratinav Seth; Ujjwal Verma (CoRR, 2021)

UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection. - Pratinav Seth; Adil Khan; Ananya Gupta; Saurabh Kumar Mishra; Akshat Bhandari (CoRR, 2022)

Performance evaluation of deep segmentation models on Landsat-8 imagery. - Akshat Bhandari; Sriya Rallabandi; Sanchit Singhal; Aditya Kasliwal; Pratinav Seth (CoRR, 2022)

ReFuSeg: Regularized Multi-modal Fusion for Precise Brain Tumour Segmentation. - Aditya Kasliwal; Sankarshanaa Sagaram; Laven Srivastava; Pratinav Seth; Adil Khan (BrainLes/SWITCH@MICCAI, 2023)

CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution. - Aditya Kasliwal; Pratinav Seth; Sriya Rallabandi; Sanchit Singhal (CVPR Workshops, 2023)

Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classification of Common Mental Illnesses on Social Media Posts. - Pratinav Seth; Mihir Agarwal (Tiny Papers @ ICLR, 2023)

SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers. - Sriya Rallabandi; Sanchit Singhal; Pratinav Seth (SemEval@ACL, 2023)

Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems. - Pratinav Seth; Akshat Bhandari; Kumud Lakara (CoRR, 2023)

UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts. - Pratinav Seth; Mihir Agarwal (CoRR, 2023)

RSM-NLP at BLP-2023 Task 2: Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers. - Pratinav Seth; Rashi Goel; Komal Mathur; Swetha Vemulapalli (CoRR, 2023)

LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract). - Aditya Kasliwal; Aryan Kamani; Ishaan Gakhar; Pratinav Seth; Sriya Rallabandi (AAAI, 2024)

HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers. - Hemang Malik; Gaurav Pradeep; Pratinav Seth (BioNLP@ACL, 2024)

Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation. - Dyutit Mohanty; Aditya Kasliwal; Bharath Udupa; Pratinav Seth (Tiny Papers @ ICLR, 2024)

Does the Fairness of Your Pre-Training Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification. - Pratinav Seth; Abhilash K. Pai (WACV (Workshops), 2024)

AgriLLM: Harnessing Transformers for Farmer Queries. - Krish Didwania; Pratinav Seth; Aditya Kasliwal; Amit Agarwal (CoRR, 2024)

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery. - Pratinav Seth; Michelle P. Lin; Brefo Yaw Dwamena; Jade Boutot; Mary Kang; David Rolnick (CoRR, 2024)

LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution. - Aditya Kasliwal; Ishaan Gakhar; Aryan Kamani; Pratinav Seth; Ujjwal Verma (CoRR, 2024)

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models. - Vinay Kumar Sankarapu; Chintan Chitroda; Yashwardhan Rathore; Neeraj Kumar Singh; Pratinav Seth (CoRR, 2024)

xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods. - Pratinav Seth; Yashwardhan Rathore; Neeraj Kumar Singh; Chintan Chitroda; Vinay Kumar Sankarapu (CoRR, 2025)

Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance. - Pratinav Seth; Vinay Kumar Sankarapu (CoRR, 2025)

SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations. - Danush Khanna; Pratinav Seth; Sidhaarth Sredharan Murali; Aditya Kumar Guru; Siddharth Shukla; Tanuj Tyagi; Sandeep Chaurasia; Kripabandhu Ghosh (CoRR, 2025)

Interpretability-Aware Pruning for Efficient Medical Image Analysis. - Nikita Malik; Pratinav Seth; Neeraj Kumar Singh; Chintan Chitroda; Vinay Kumar Sankarapu (CoRR, 2025)