| A mathematical analysis of learning loss for active learning in regression M Shukla, S Ahmed Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
| VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation M Shukla, R Roy, P Singh, S Ahmed, A Alahi British Machine Vision Conference 2022, 2022 | 8 | 2022 |
| Bayesian Uncertainty and Expected Gradient Length-Regression: Two Sides Of The Same Coin? M Shukla Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 8* | 2022 |
| LEt-SNE: A hybrid approach to data embedding and visualization of hyperspectral imagery M Shukla, B Banerjee, KM Buddhiraju ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression M Shukla, M Salzmann, A Alahi Proceedings of the 41st International Conference on Machine Learning (ICML …, 2024 | 1 | 2024 |
| Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression M Shukla, A Shameem, M Salzmann, A Alahi Proceedings of the 13th International Conference on Learning Representations …, 2025 | | 2025 |
| MotionMap: Representing Multimodality in Human Pose Forecasting R Hosseininejad*, M Shukla*, S Saadatnejad, M Salzmann, A Alahi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Alexandre AlahiProfessor, EPFLVerified email at epfl.ch
