Preserving semantic relations for zero-shot learning Y Annadani, S Biswas Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 277 | 2018 |
Learning neural causal models with active interventions N Scherrer, O Bilaniuk, Y Annadani, A Goyal, P Schwab, B Schölkopf, ... arXiv preprint arXiv:2109.02429, 2021 | 40 | 2021 |
Variational causal networks: Approximate bayesian inference over causal structures Y Annadani, J Rothfuss, A Lacoste, N Scherrer, A Goyal, Y Bengio, ... arXiv preprint arXiv:2106.07635, 2021 | 35 | 2021 |
Interventions, where and how? experimental design for causal models at scale P Tigas, Y Annadani, A Jesson, B Schölkopf, Y Gal, S Bauer Advances in Neural Information Processing Systems, 2022 | 34 | 2022 |
Structure by Architecture: Structured Representations without Regularization F Leeb, G Lanzillotta, Y Annadani, M Besserve, S Bauer, B Schölkopf International Conference on Learning Representations, 2023 | 26* | 2023 |
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Y Annadani, N Pawlowski, J Jennings, S Bauer, C Zhang, W Gong Advances in Neural Information Processing Systems 37, 2023 | 11* | 2023 |
Growbit: Incremental hashing for cross-modal retrieval D Mandal, Y Annadani, S Biswas Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 11 | 2019 |
Differentiable multi-target causal bayesian experimental design P Tigas, Y Annadani, DR Ivanova, A Jesson, Y Gal, A Foster, S Bauer International Conference on Machine Learning, 34263-34279, 2023 | 10* | 2023 |
Augment and adapt: A simple approach to image tampering detection Y Annadani, CV Jawahar 2018 24th International Conference on Pattern Recognition (ICPR), 2983-2988, 2018 | 7 | 2018 |
Sliding dictionary based sparse representation for action recognition Y Annadani, DL Rakshith, S Biswas arXiv preprint arXiv:1611.00218, 2016 | 7 | 2016 |
Trust Your : Gradient-based Intervention Targeting for Causal Discovery M Olko, M Zając, A Nowak, N Scherrer, Y Annadani, S Bauer, Ł Kuciński, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Learning latent structural causal models J Subramanian, Y Annadani, I Sheth, NR Ke, T Deleu, S Bauer, ... arXiv preprint arXiv:2210.13583, 2022 | 2 | 2022 |
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery AMK Mamaghan, P Tigas, KH Johansson, Y Gal, Y Annadani, S Bauer arXiv preprint arXiv:2406.03209, 2024 | | 2024 |
Amortized Active Causal Induction with Deep Reinforcement Learning Y Annadani, P Tigas, S Bauer, A Foster arXiv preprint arXiv:2405.16718, 2024 | | 2024 |