Yashas Annadani

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Causal Relationships

Experimental Design

Structured Representations

Top Venues

Publications

Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster
Amortized Active Causal Induction with Deep Reinforcement Learning. CoRR (2024)
Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. CoRR (2024)
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. NeurIPS (2023)
Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
Structure by Architecture: Structured Representations without Regularization. ICLR (2023)
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery. CoRR (2023)
Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
Differentiable Multi-Target Causal Bayesian Experimental Design. ICML (2023)
Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS (2023)
Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
Differentiable Multi-Target Causal Bayesian Experimental Design. CoRR (2023)
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
Interventions, Where and How? Experimental Design for Causal Models at Scale. NeurIPS (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Latent Variable Models for Bayesian Causal Discovery. CoRR (2022)
Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR (2022)
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
Interventions, Where and How? Experimental Design for Causal Models at Scale. CoRR (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Learning Latent Structural Causal Models. CoRR (2022)
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. CoRR (2021)
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
Learning Neural Causal Models with Active Interventions. CoRR (2021)
Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Schölkopf
Structural Autoencoders Improve Representations for Generation and Transfer. CoRR (2020)
Yashas Annadani, Soma Biswas
Preserving Semantic Relations for Zero-Shot Learning. CoRR (2018)
Devraj Mandal, Yashas Annadani, Soma Biswas
GrowBit: Incremental Hashing for Cross-Modal Retrieval. ACCV (4) (2018)
Yashas Annadani, C. V. Jawahar
Augment and Adapt: A Simple Approach to Image Tampering Detection. ICPR (2018)
Yashas Annadani, Soma Biswas
Preserving Semantic Relations for Zero-Shot Learning. CVPR (2018)
Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. SITIS (2016)
Yashas Annadani, D. L. Rakshith, Soma Biswas
Sliding Dictionary Based Sparse Representation For Action Recognition. CoRR (2016)
Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. CoRR (2016)