Yashas Annadani

PhD Student, MPI for Intelligent Systems and KTH Stockholm

ayashas [AT] tuebingen.mpg.de


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.