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Yashas Annadani
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2020 – today
- 2024
- [c10]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. ICML 2024 - [i14]Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster:
Amortized Active Causal Induction with Deep Reinforcement Learning. CoRR abs/2405.16718 (2024) - [i13]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 abs/2406.03209 (2024) - 2023
- [c9]Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf:
Structure by Architecture: Structured Representations without Regularization. ICLR 2023 - [c8]Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer:
Differentiable Multi-Target Causal Bayesian Experimental Design. ICML 2023: 34263-34279 - [c7]Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong:
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. NeurIPS 2023 - [c6]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 - [i12]Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer:
Differentiable Multi-Target Causal Bayesian Experimental Design. CoRR abs/2302.10607 (2023) - [i11]Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong:
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery. CoRR abs/2307.13917 (2023) - 2022
- [c5]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 - [i10]Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer:
Interventions, Where and How? Experimental Design for Causal Models at Scale. CoRR abs/2203.02016 (2022) - [i9]Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou:
Latent Variable Models for Bayesian Causal Discovery. CoRR abs/2207.05723 (2022) - [i8]Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou:
Learning Latent Structural Causal Models. CoRR abs/2210.13583 (2022) - [i7]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 abs/2211.13715 (2022) - 2021
- [i6]Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer:
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. CoRR abs/2106.07635 (2021) - [i5]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 abs/2109.02429 (2021) - 2020
- [i4]Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Schölkopf:
Structural Autoencoders Improve Representations for Generation and Transfer. CoRR abs/2006.07796 (2020)
2010 – 2019
- 2018
- [c4]Devraj Mandal, Yashas Annadani, Soma Biswas:
GrowBit: Incremental Hashing for Cross-Modal Retrieval. ACCV (4) 2018: 305-321 - [c3]Yashas Annadani, Soma Biswas:
Preserving Semantic Relations for Zero-Shot Learning. CVPR 2018: 7603-7612 - [c2]Yashas Annadani, C. V. Jawahar
:
Augment and Adapt: A Simple Approach to Image Tampering Detection. ICPR 2018: 2983-2988 - [i3]Yashas Annadani, Soma Biswas:
Preserving Semantic Relations for Zero-Shot Learning. CoRR abs/1803.03049 (2018) - 2016
- [c1]Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. SITIS 2016: 335-342 - [i2]Yashas Annadani, D. L. Rakshith, Soma Biswas:
Sliding Dictionary Based Sparse Representation For Action Recognition. CoRR abs/1611.00218 (2016) - [i1]Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat:
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. CoRR abs/1611.04357 (2016)
Coauthor Index
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last updated on 2024-09-04 00:31 CEST by the dblp team
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