Aishwarya Venkataramanan

13 papers A 1C 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Distance-informed Neural Processes. CoRR Aishwarya Venkataramanan, Joachim Denzler
2025	A	`conf`	Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models. UAI Aishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler
2025	J	`jnl`	Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models. CoRR Aishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler
2025	J	`jnl`	Uncertainty-aware Physics-informed Neural Networks for Robust CARS-to-Raman Signal Reconstruction. CoRR Aishwarya Venkataramanan, Sai Karthikeya Vemuri, Adithya Ashok Chalain Valapil, Joachim Denzler
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). Aishwarya Venkataramanan
2023	—	`conf`	Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers. ICCV (Workshops) Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier
2023	C	`conf`	Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval. ICVS Aishwarya Venkataramanan, Martin Laviale, Cédric Pradalier
2023	J	`jnl`	Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval. CoRR Aishwarya Venkataramanan, Martin Laviale, Cédric Pradalier
2023	J	`jnl`	Self-Supervised Gaussian Regularization of Deep Classifiers for Mahalanobis-Distance-Based Uncertainty Estimation. CoRR Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier
2023	J	`jnl`	Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach. Eng. Appl. Artif. Intell. Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier, Martin Laviale
2022	J	`jnl`	A data driven approach to generate realistic 3D tree barks. Graph. Model. Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier
2021	J	`jnl`	Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification. CoRR Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier
2021	C	`conf`	Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification. ICVS Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier