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Learning Neural Causal Models with Active Interventions


Sep 06, 2021
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke


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Variational Causal Networks: Approximate Bayesian Inference over Causal Structures


Jun 14, 2021
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer

* 10 pages, 6 figures 

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Structural Autoencoders Improve Representations for Generation and Transfer


Jun 14, 2020
Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Schölkopf

* Submitted to NeurIPS 2020 

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Noise Contrastive Variational Autoencoders


Jul 31, 2019
Octavian-Eugen Ganea, Yashas Annadani, Gary Bécigneul

* There is a mistake common to all the main proofs. In summary, what we find are saddle points or global maxima of the respective loss functions and not the global minima. We apologize for this 

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Preserving Semantic Relations for Zero-Shot Learning


Mar 08, 2018
Yashas Annadani, Soma Biswas

* CVPR 2018 

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Selfie Detection by Synergy-Constraint Based Convolutional Neural Network


Nov 14, 2016
Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat

* 8 Pages, Accepted for Publication at IEEE SITIS 2016 

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Sliding Dictionary Based Sparse Representation For Action Recognition


Nov 01, 2016
Yashas Annadani, D L Rakshith, Soma Biswas

* 7 Pages 

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