Optimal Measurement under Cost Constraints for Estimation of Propagating Wave Fields. - Ayça Özçelikkale; Haldun M. Özaktas; Erdal Arikan (ISIT, 2007)

Super-resolution using multiple quantized images. - Ayça Özçelikkale; Gozde Bozdagi Akar; Haldun M. Özaktas (ICIP, 2010)

Signal recovery with cost-constrained measurements. - Ayça Özçelikkale; Haldun M. Özaktas; Erdal Arikan (IEEE Trans. Signal Process., 2010)

Average error in recovery of sparse signals and discrete fourier transform. - Ayça Özçelikkale; Serdar Yüksel; Haldun M. Özaktas (SIU, 2012)

Optimal representation of non-stationary random fields with finite numbers of samples: A linear MMSE framework. - Ayça Özçelikkale; Haldun M. Özaktas (Digit. Signal Process., 2013)

Lower bounds on the error probability of turbo codes. - Ayça Özçelikkale; Tolga M. Duman (ISIT, 2014)

Short Length Trellis-Based Codes for Gaussian Multiple-Access Channels. - Ayça Özçelikkale; Tolga M. Duman (IEEE Signal Process. Lett., 2014)

Unitary Precoding and Basis Dependency of MMSE Performance for Gaussian Erasure Channels. - Ayça Özçelikkale; Serdar Yüksel; Haldun M. Özaktas (IEEE Trans. Inf. Theory, 2014)

Wireless information and power transfer in MIMO channels under Rician fading. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (ICASSP, 2015)

MIMO linear precoder design with non-ideal transmitters. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (ISWCS, 2015)

Cooperative Precoding and Artificial Noise Design for Security Over Interference Channels. - Ayça Özçelikkale; Tolga M. Duman (IEEE Signal Process. Lett., 2015)

Linear Precoder Design for Simultaneous Information and Energy Transfer Over Two-User MIMO Interference Channels. - Ayça Özçelikkale; Tolga M. Duman (IEEE Trans. Wirel. Commun., 2015)

Transmission strategies for remote estimation under energy harvesting constraints. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (EUSIPCO, 2016)

Performance bounds for remote estimation with an energy harvesting sensor. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (ISIT, 2016)

Simultaneous information and power transfer with transmitters with hardware impairments. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (ISWCS, 2016)

Feasibility of Ambient RF Energy Harvesting for Self-Sustainable M2M Communications Using Transparent and Flexible Graphene Antennas. - Michael A. Andersson; Ayça Özçelikkale; Martin Johansson; Ulrika Engstorm; Andrei Vorobiev; Jan Stake (IEEE Access, 2016)

Performance Bounds for Remote Estimation under Energy Harvesting Constraints. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (CoRR, 2016)

On the resource allocation problem in wireless networked control systems. - Themistoklis Charalambous; Ayça Özçelikkale; Mario Zanon; Paolo Falcone; Henk Wymeersch (CDC, 2017)

Optimal energy beamforming and data routing for immortal wireless sensor networks. - Rong Du; Ayça Özçelikkale; Carlo Fischione; Ming Xiao 001 (ICC, 2017)

Simultaneous information and power transfer under a non-linear RF energy harvesting model. - Xiaowei Xu; Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (ICC Workshops, 2017)

Transmission Strategies for Remote Estimation With an Energy Harvesting Sensor. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (IEEE Trans. Wirel. Commun., 2017)

Impact of Communication Frequency on Remote Control of Automated Vehicles. - Mohammad A. Nazari; Ayça Özçelikkale; Mario Zanon; Themistoklis Charalambous; Jonas Sjöberg; Henk Wymeersch (PIMRC, 2018)

Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. - Ayça Özçelikkale; Mehmet Köseoglu 001; Mani B. Srivastava (SPAWC, 2018)

Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing. - Rong Du; Ayça Özçelikkale; Carlo Fischione; Ming Xiao 001 (IEEE Trans. Wirel. Commun., 2018)

Remote Estimation of Correlated Sources Under Energy Harvesting Constraints. - Ayça Özçelikkale; Tomas McKelvey; Mats Viberg (IEEE Trans. Wirel. Commun., 2018)

DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks. - Ayça Özçelikkale; Mehmet Köseoglu 001; Mani B. Srivastava; Anders Ahlén (MLSP, 2019)

Sparse Recovery with Non-Linear Fourier Features. - Ayça Özçelikkale (ICASSP, 2020)

Generalization Error for Linear Regression under Distributed Learning. - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (SPAWC, 2020)

Model Mismatch Trade-offs in LMMSE Estimation. - Martin Hellkvist; Ayça Özçelikkale (EUSIPCO, 2021)

Chance-Constrained Active Inference. - Thijs van de Laar; Ismail Senöz; Ayça Özçelikkale; Henk Wymeersch (Neural Comput., 2021)

Linear Regression With Distributed Learning: A Generalization Error Perspective. - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (IEEE Trans. Signal Process., 2021)

Application of the Free Energy Principle to Estimation and Control. - Thijs van de Laar; Ayça Özçelikkale; Henk Wymeersch (IEEE Trans. Signal Process., 2021)

Estimation and Model Misspecification: Fake and Missing Features. - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (CoRR, 2022)

Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. - David Bosch 002; Ashkan Panahi; Ayça Özçelikkale; Devdatt P. Dubhashi (CoRR, 2022)

Continual Learning with Distributed Optimization: Does COCOA Forget? - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (CoRR, 2022)

Regularization with Fake Features. - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (CoRR, 2022)

Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. - David Bosch 002; Ashkan Panahi; Ayça Özçelikkale; Devdatt P. Dubhashi (AISTATS, 2023)

Regularization Trade-offs with Fake Features. - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (EUSIPCO, 2023)

Communication Trade-offs in Federated Learning of Spiking Neural Networks. - Soumi Chaki; David Weinberg; Ayça Özcelikkale (CoRR, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

Estimation Under Model Misspecification With Fake Features. - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (IEEE Trans. Signal Process., 2023)

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. - Derek Yadgaroff; Alessandro Sestini; Konrad Tollmar; Ayça Özçelikkale; Linus Gisslén (CEC, 2024)

Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition? - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (EUSIPCO, 2024)

Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks. - Sanja Karilanova; Maxime Fabre; Emre Neftci; Ayça Özçelikkale (CoRR, 2024)

Distributed Continual Learning With CoCoA in High-Dimensional Linear Regression. - Martin Hellkvist; Ayça Özçelikkale; Anders Ahlén (IEEE Trans. Signal Process., 2024)

State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons. - Sanja Karilanova; Subhrakanti Dey; Ayça Özçelikkale (NICE, 2025)

Rate-Limited Closed-Loop Distributed ISAC Systems: An Autoencoder Approach. - Guangjin Pan; Zhixing Li; Ayça Özçelikkale; Christian Häger; Musa Furkan Keskin; Henk Wymeersch (CoRR, 2025)

Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback. - Sanja Karilanova; Subhrakanti Dey; Ayça Özçelikkale (CoRR, 2025)