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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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