| 2024 | EMNLP | Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. | Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega |
| 2024 | ICML | Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation. | Randall Balestriero, Romain Cosentino, Sarath Shekkizhar |
| 2023 | ICASSP | Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs. | Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega |
| 2022 | ICASSP | Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. | David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar |
| 2021 | ACSSC | Model selection and explainability in neural networks using a polytope interpolation framework. | Sarath Shekkizhar, Antonio Ortega |
| 2020 | ICASSP | Graph Construction from Data by Non-Negative Kernel Regression. | Sarath Shekkizhar, Antonio Ortega |
| 2020 | ICIP | Efficient Graph Construction For Image Representation. | Sarath Shekkizhar, Antonio Ortega |
| 2020 | MMSP | Graph-based Deep Learning Analysis and Instance Selection. | Keisuke Nonaka, Sarath Shekkizhar, Antonio Ortega |