Pratinav Seth
Also known as: P Seth
AryaXAI, Mila - Quebec Artificial Intelligence Institute, Manipal Academy of Higher Education, Robert Bosch (India)
About
TL/DR : I currently work as a Research Scientist at AryaXAI. I completed my B.Tech in Data Science from Manipal Institute of Technology, during which I worked at Mila, Bosch,IIT KGP and few startups. I was an 2023 AAAI Undergraduate Consortium Scholar and received MAHE UG Research Grant. I have reviewed and presented research at A*/A conferences such as AAAI, ICML & IJCNN and workshops at conferences such as NeurIPS, ICLR, MICCAI, AAAI, CVPR, EMNLP, WACV, MIDL, NAACL, EMNLP and ACL.
I currently work as a Research Scientist at AryaXAI (Arya.ai, an Aurionpro Company), where I work at the intersection of Explainable AI (XAI), AI alignment, and AI safety for high-stakes, real-world applications. My focus is on interpreting black-box models, evaluating XAI algorithm reliability, ensuring these systems are aligned and trustworthy, and exploring the use of foundation models for tabular data applications—especially in critical sectors.
I recently completed my B.Tech in Data Science from Manipal Institute of Technology, during which I had the privilege of working at Mila Quebec AI Institute (under Dr. David Rolnick), Bosch Research India (with Dr. Amit Kale and Mr. Koustav Mullick), and KLIV Lab at IIT Kharagpur (PI: Dr. Debdoot Sheet). I conducted much of my research alongside my peers at Mars Rover Manipal AI Research (alongside Dr. Ujjwal Verma), Research Society MIT, and under Dr. Abhilash K. Pai .
In 2023, I was honored to be selected as an AAAI Undergraduate Consortium Scholar, where I presented a proposal on Model Agnostic Uncertainty Aware Metrics. I have presented research at A*/A conferences such as AAAI, ICML & IJCNN and workshops such as NeurIPS, ICLR, MICCAI, AAAI, CVPR, EMNLP, WACV, NAACL, EMNLP and ACL. I have also served as a reviewer for various conferences and conference workshops such as NeurIPS, MICCAI, EMNLP, CVPR, ICLR, ICCV, ECCV and IJCNN. Passionate about applying artificial intelligence to solve real-world problems across various domains.
I’m deeply passionate about building responsible AI systems that are aligned, safe, and transparent, with a particular interest in AI for Social Good and its applications in Medical Imagery and Remote Sensing.
I’m always eager to connect and exchange ideas on AI research—let’s connect! 🚀
Employment
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AryaXAI Research Scientist2024 - Present
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Mila - Quebec Artificial Intelligence Institute Research Intern2024 - 2024
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Robert Bosch (India) Research Intern2023 - 2033
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Indian Institute of Technology Kharagpur Research Intern2022 - 2023
Education
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Manipal Academy of Higher Education Bachelors in Technology2020 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- xai_evals: A FRAMEWORK FOR EVALUATING POST-HOC LOCAL EXPLANATION METHODS Save
- AgriLLM:Harnessing Transformers for Framer Queries Save
- Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation Save
- ReFuSeg: Regularized Multi-modal Fusion for Precise Brain Tumour Segmentation Save
- LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution Save
- LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution Save
- LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract) Save
- LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution Save
- HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers Save
- HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers Save