Aishwarya Venkataramanan
Orcid: 0000-0002-6100-0034
According to our database1,
Aishwarya Venkataramanan authored at least 10 papers
between 2021 and 2025.
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Bibliography
2025
Uncertainty-aware Physics-informed Neural Networks for Robust CARS-to-Raman Signal Reconstruction.
CoRR, November, 2025
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025
2023
Automatic identification of diatoms using deep learning to improve ecological diagnosis of aquatic environments. (Identification automatique des diatomées par apprentissage profond pour l'amélioration du diagnostic écologique des milieux aquatiques).
PhD thesis, 2023
Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach.
Eng. Appl. Artif. Intell., 2023
Self-Supervised Gaussian Regularization of Deep Classifiers for Mahalanobis-Distance-Based Uncertainty Estimation.
CoRR, 2023
Proceedings of the Computer Vision Systems: 14th International Conference, 2023
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
2021
Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification.
Proceedings of the Computer Vision Systems - 13th International Conference, 2021