Yashas Annadani

PhD student, Technische Universität München

Joined

February 2024

Names

Yashas Annadani (Preferred)

Emails

****@outlook.com (Confirmed)

****@ethz.ch

Personal Links

Homepage

Career & Education History

PhD student

Technische Universität München (tum.de)

2021 – Present

MS student

ETHZ - ETH Zurich (ethz.ch)

2019 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Stefan Bauer

2021 – Present

Expertise

machine learning

Present

zero-shot learning

Present

artificial intelligence

Present

Publications

Differentiable Multi-Target Causal Bayesian Experimental Design
Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
- 2023 (modified: 16 Apr 2023)
- CoRR 2023
- Readers: Everyone
Differentiable Multi-Target Causal Bayesian Experimental Design
Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
- Published: 01 Jan 2023, Last Modified: 30 Sept 2023
- ICML 2023
- Readers: Everyone
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
- Published: 01 Jan 2023, Last Modified: 05 Oct 2023
- CoRR 2023
- Readers: Everyone
Structure by Architecture: Structured Representations without Regularization
Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
- Published: 01 Jan 2023, Last Modified: 10 Nov 2023
- ICLR 2023
- Readers: Everyone
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
- Published: 01 Jan 2023, Last Modified: 03 Apr 2024
- NeurIPS 2023
- Readers: Everyone
Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery
Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
- Published: 01 Jan 2023, Last Modified: 03 Apr 2024
- NeurIPS 2023
- Readers: Everyone
Interventions, Where and How? Experimental Design for Causal Models at Scale
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
- 2022 (modified: 16 May 2022)
- CoRR 2022
- Readers: Everyone
Latent Variable Models for Bayesian Causal Discovery
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
Learning Latent Structural Causal Models
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
Interventions, Where and How? Experimental Design for Causal Models at Scale
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- NeurIPS 2022
- Readers: Everyone

View all 20 publications

Co-Authors

View all 40 co-authors