Ruta Binkyte

According to our database, Ruta Binkyte authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation.

Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz

CoRR, 2024

BaBE: Enhancing Fairness via Estimation of Explaining Variables.

Ruta Binkyte, Daniele Gorla, Catuscia Palamidessi

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Causal Discovery Under Local Privacy.

Ruta Binkyte, Carlos Antonio Pinzóon, Szilvia Lestyan, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi

Proceedings of the Causal Learning and Reasoning, 2024

2023

Gender and sex bias in COVID-19 epidemiological data through the lens of causality.

Natalia Díaz Rodríguez, Ruta Binkyte, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Sami Zhioua, Raja Chatila

Inf. Process. Manag., May, 2023

Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints. (Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints).

Ruta Binkyte

PhD thesis, 2023

Distant Reading and Viewing: "Big Questions" in Digital Art History and Digital Literary Studies.

Ruta Binkyte

Digit. Humanit. Q., 2023

Causal Discovery Under Local Privacy.

Ruta Binkyte, Carlos Pinzón, Szilvia Lestyán, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi

CoRR, 2023

Dissecting Causal Biases.

Ruta Binkyte, Sami Zhioua, Yassine Turki

CoRR, 2023

BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables.

Ruta Binkyte, Daniele Gorla, Catuscia Palamidessi

CoRR, 2023

Shedding light on underrepresentation and Sampling Bias in machine learning.

Sami Zhioua, Ruta Binkyte

CoRR, 2023

2022

On the Need and Applicability of Causality for Fair Machine Learning.

Ruta Binkyte, Sami Zhioua

CoRR, 2022

Causal Discovery for Fairness.

Ruta Binkyte, Karima Makhlouf, Carlos Pinzón, Sami Zhioua, Catuscia Palamidessi

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

2021

Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics.

Natalia Díaz Rodríguez, Ruta Binkyte-Sadauskiene, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Raja G. Chatila

CoRR, 2021