I am a PhD student in Causal Inference and Machine Learning at MPI for Intelligent Systems, Germany and KTH Stockholm, Sweden as part of ELLIS PhD program. I completed my master's degree in Electrical Engineeting and Information Technology at ETH Zürich. During my master's studies, I was a research intern at Mila under the supervision of Prof. Yoshua Bengio.
Before coming to ETH Zürich, I completed my Bachelor's degree from NITK Surathkal. During this time, I interned at INRIA under Francois Bremond and at IACV, Indian Institute of Science under Soma Biswas working on action recognition and zero-shot learning.
Learning Neural Causal Models with Active Interventions
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael Curtis Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
arxiv preprint: arXiv:2109.02429, 2021
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer
arxiv preprint: arXiv:2106.07635. Also Oral at KDD Workshop on Bayesian causal inference for real world interactive systems, 2021
Structure by Architecture: Disentangled Representations without Regularization
Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
arxiv preprint: arXiv:2006.07796
Preserving Semantic Relations for Zero-Shot Learning
Yashas Annadani, Soma Biswas
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Growbit: Incremental Hashing for Cross-Modal Retrieval
Devraj Mandal, Yashas Annadani, Soma Biswas
Asian Conference on Computer Vision (ACCV), 2018
Augment and Adapt: A Simple Approach to Image Tampering Detection
Yashas Annadani, C.V. Jawahar
IEEE International Conference on Pattern Recognition (ICPR), 2018
Full CV in PDF.