Seuraa
Yashas Annadani
Yashas Annadani
KTH Stockholm, Max Planck Institute for Intelligent Systems
Vahvistettu sähköpostiosoite verkkotunnuksessa ethz.ch - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Preserving semantic relations for zero-shot learning
Y Annadani, S Biswas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2222018
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
192021
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
112021
Structural autoencoders improve representations for generation and transfer
F Leeb, Y Annadani, S Bauer, B Schölkopf
9*2020
Growbit: Incremental hashing for cross-modal retrieval
D Mandal, Y Annadani, S Biswas
Asian Conference on Computer Vision, 305-321, 2018
92018
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
62018
Sliding dictionary based sparse representation for action recognition
Y Annadani, DL Rakshith, S Biswas
arXiv preprint arXiv:1611.00218, 2016
62016
Interventions, where and how? experimental design for causal models at scale
P Tigas, Y Annadani, A Jesson, B Schölkopf, Y Gal, S Bauer
arXiv preprint arXiv:2203.02016, 2022
22022
Trust Your : Gradient-based Intervention Targeting for Causal Discovery
M Olko, M Zając, A Nowak, N Scherrer, Y Annadani, S Bauer, Ł Kuciński, ...
arXiv preprint arXiv:2211.13715, 2022
2022
Learning Latent Structural Causal Models
J Subramanian, Y Annadani, I Sheth, NR Ke, T Deleu, S Bauer, ...
arXiv preprint arXiv:2210.13583, 2022
2022
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Artikkelit 1–10