Yashas Annadani | DeepAI

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∙ 02/21/2023

Differentiable Multi-Target Causal Bayesian Experimental Design

We introduce a gradient-based approach for the problem of Bayesian optim...

0 Yashas Annadani, et al. ∙

∙ 11/24/2022

Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery

Inferring causal structure from data is a challenging task of fundamenta...

0 Mateusz Olko, et al. ∙

∙ 10/24/2022

Learning Latent Structural Causal Models

Causal learning has long concerned itself with the accurate recovery of ...

0 Jithendaraa Subramanian, et al. ∙

∙ 07/12/2022

Latent Variable Models for Bayesian Causal Discovery

Learning predictors that do not rely on spurious correlations involves b...

0 Jithendaraa Subramanian, et al. ∙

∙ 03/03/2022

Interventions, Where and How? Experimental Design for Causal Models at Scale

Causal discovery from observational and interventional data is challengi...

11 Panagiotis Tigas, et al. ∙

∙ 09/06/2021

Learning Neural Causal Models with Active Interventions

Discovering causal structures from data is a challenging inference probl...

7 Nino Scherrer, et al. ∙

∙ 06/14/2021

Variational Causal Networks: Approximate Bayesian Inference over Causal Structures

Learning the causal structure that underlies data is a crucial step towa...

0 Yashas Annadani, et al. ∙

∙ 06/14/2020

Structural Autoencoders Improve Representations for Generation and Transfer

We study the problem of structuring a learned representation to signific...

26 Felix Leeb, et al. ∙

∙ 07/23/2019

Noise Contrastive Variational Autoencoders

We take steps towards understanding the "posterior collapse (PC)" diffic...

3 Octavian-Eugen Ganea, et al. ∙

∙ 03/08/2018

Preserving Semantic Relations for Zero-Shot Learning

Zero-shot learning has gained popularity due to its potential to scale r...

0 Yashas Annadani, et al. ∙

∙ 11/14/2016

Selfie Detection by Synergy-Constraint Based Convolutional Neural Network

Categorisation of huge amount of data on the multimedia platform is a cr...

0 Yashas Annadani, et al. ∙

∙ 11/01/2016

Sliding Dictionary Based Sparse Representation For Action Recognition

The task of action recognition has been in the forefront of research, gi...

0 Yashas Annadani, et al. ∙

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