Mayank Nautiyal

According to our database, Mayank Nautiyal authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

GeoFlowVLM: Geometry-Aware Joint Uncertainty for Frozen Vision-Language Embedding.

Mayank Nautiyal, Li Ju, Andreas Hellander, Ekta Vats, Prashant Singh

CoRR, May, 2026

OneFlowSBI: One Model, Many Queries for Simulation-Based Inference.

Mayank Nautiyal, Li Ju, Melker Ernfors, Klara Hagland, Ville Holma, Maximilian Werkö Söderholm, Andreas Hellander, Prashant Singh

CoRR, January, 2026

Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching.

Li Ju, Mayank Nautiyal, Andreas Hellander, Ekta Vats, Prashant Singh

CoRR, January, 2026

2025

ConDiSim: Conditional Diffusion Models for Simulation Based Inference.

Mayank Nautiyal, Andreas Hellander, Prashant Singh

CoRR, May, 2025

PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models.

Mayank Nautiyal, Stela Arranz Gheorghe, Kristiana Stefa, Li Ju, Ida-Maria Sintorn, Prashant Singh

CoRR, March, 2025

Accelerating Simulation-Based Inference with Variational Autoencoders.

Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant Singh

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Variational Autoencoders for Efficient Simulation-Based Inference.

Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant Singh

CoRR, 2024

2022

Low Complexity and Robust Diffusion Affine Projection Algorithms for Distributed Estimation.

Mayank Nautiyal, Sankha Subhra Bhattacharjee, Nithin V. George

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Robust and Sparse Aware Diffusion Adaptive Algorithms for Distributed Estimation.

Mayank Nautiyal, Sankha Subhra Bhattacharjee, Nithin V. George

IEEE Trans. Circuits Syst. II Express Briefs, 2022