Ilker Demirel

According to our database, Ilker Demirel authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition.

Ilker Demirel, Karan Thakkar, Benjamin Elizalde, Miquel Espi Marques, Shirley You Ren, Jaya Narain

CoRR, September, 2025

Federated Multiarmed Bandits Under Byzantine Attacks.

Artun Saday, Ilker Demirel, Yigit Yildirim, Cem Tekin

IEEE Trans. Artif. Intell., June, 2025

Causal Lifting of Neural Representations: Zero-Shot Generalization for Causal Inferences.

Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello

CoRR, February, 2025

Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires.

Paidamoyo Chapfuwa, Ilker Demirel, Lorenzo Pisani, Javier Zazo, Elon Portugaly, H. Jabran Zahid, Julia Greissl

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

Prediction-powered Generalization of Causal Inferences.

Ilker Demirel, Ahmed M. Alaa, Anthony Philippakis, David A. Sontag

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Benchmarking Observational Studies with Experimental Data under Right-Censoring.

Ilker Demirel, Edward De Brouwer, Zeshan M. Hussain, Michael Oberst, Anthony Philippakis, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions.

Zeshan M. Hussain, Ming-Chieh Shih, Michael Oberst, Ilker Demirel, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Distance and position estimation in visible light systems with RGB LEDs.

Ilker Demirel, Sinan Gezici

Digit. Signal Process., 2022

Federated Multi-Armed Bandits Under Byzantine Attacks.

Ilker Demirel, Yigit Yildirim, Cem Tekin

CoRR, 2022

ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine.

Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Safe Linear Leveling Bandits.

Ilker Demirel, Mehmet Ufuk Ozdemir, Cem Tekin

CoRR, 2021

Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms.

Ilker Demirel, Cem Tekin

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Accuracy Limits of Distance Estimation in Visible Light Systems with RGB LEDs.

Ilker Demirel, Sinan Gezici

Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019