2026-Q1: team updates
Papers
The following papers have been accepted for publication:
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D. P. Krishnan, K. Okumus, K.-H. Ngo, and G. Durisi, “Minimum energy per bit of unsourced multiple access with location-based codebook partitioning (extended version),” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China, June 2026. []
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J. Naram, Z. Wang, G. Durisi, and R. Jörnsten, “Weighted partial optimal transport for multi-source partial domain adaptation,” in Proc. Int. Conf. Learning Representation (ICLR), Catch, Adapt, and Operate: Monitoring ML Models Under Drift (CAO) Workshop, Rio de Janeiro, Brazil, Apr. 2026.
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K. Okumus, K.-H. Ngo, U. K. Ganesan, G. Durisi, E. G. Ström, and S. R. Pandey, “Type-based unsourced federated learning with client self-selection,” in Proc. IEEE Int. Conf. Commun. (ICC), Glasgow, U.K., May 2026. []
Furthermore, we uploaded the following paper on arXiv:
- K. Okumus, K.-H. Ngo, G. Durisi, and E. G. Ström, “Type-based unsourced multiple access over fading channels in distributed MIMO with application to multi-target localization,” Mar. 2026. []
Presentations
I’ve been invited to two workshops over the past few weeks, where I gave the following talks:
- Prediction-aided sequential communication of individual sequences with distortion guarantees, Workshop on Information Theory for Future Networks, Mar. 2026
- Theoretical performance guarantees for partial domain adaptation via partial optimal transport, Wireless AI and Data Technology Workshop Stockholm, Sweden, Feb. 2026
Other
- I will be serving as tutorial chair at the IEEE International Symposium on Information Theory, 2027
- I will also help out with the organization of the Chalmers AI days, a 2-day conference on artificial intelligence research and innovation at Chalmers
