Publications

2025

Uncertainty Bounds for Anomalous Geomagnetic Storm Forecasting–A Deep Learning Approach. Mihir Agarwal, Progyan Das, Shruhrid Banthia, S. B. Chakrabarty, D. Chakrabarty, 2025 IEEE Space, Aerospace and Defence Conference (SPACE) — Best Paper Award Winner [IEEE]
VeriBench: Benchmarking Large Language Models for Verilog Code Generation and Design Synthesis. Mihir Agarwal, Zaqi Momin, Kailash Prasad, Joycee Mekie, 2025 IEEE International Symposium on Circuits and Systems (ISCAS) — Spotlight [IEEE]

Disentangling the Peptide Space: A Contrastive Approach with Wasserstein Autoencoders. Mihir Agarwal, Progyan Das, NeurIPS 2024 Workshop on AI for New Drug Modalities [OpenReview]

Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes. Mihir Agarwal, Progyan Das, Udit Bhatia, Tackling Climate Change with Machine Learning workshop, NeurIPS 2023 [arXiv]
Less But Better, Towards better AQ Monitoring by learning Inducing Points for Multi-Task Gaussian Processes. Progyan Das and Mihir Agarwal, NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World [OpenReview]
Focus on What’s Important! Inspecting Variational Distributions for Gaussian Processes for better AQ Station Deployment. Progyan Das and Mihir Agarwal, NeurIPS 2023 Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment [OpenReview]
Conformal Prediction: A Visual Introduction. Mihir Agarwal, Lalit Routhu, Zeel B Patel, Nipun Batra, VISxAI workshop 2023, IEEE VIS [URL]