Ayça Özçelikkale

61 papers A 1B 6Misc 2Journal 38Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Zero-shot temporal resolution domain adaptation for spiking neural networks. Neural Networks Sanja Karilanova, Maxime Fabre, Emre Neftci, Ayça Özçelikkale
2025	J	`jnl`	Delays in Spiking Neural Networks: A State Space Model Approach. CoRR Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
2025	J	`jnl`	Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback. IEEE J. Sel. Top. Signal Process. Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
2025	J	`jnl`	Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback. CoRR Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
2025	J	`jnl`	Rate-Limited Closed-Loop Distributed ISAC Systems: An Autoencoder Approach. CoRR Guangjin Pan, Zhixing Li, Ayça Özçelikkale, Christian Häger, Musa Furkan Keskin, Henk Wymeersch
2025	J	`jnl`	Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems. CoRR Guangjin Pan, Ayça Özçelikkale, Christian Häger, Musa Furkan Keskin, Henk Wymeersch
2025	—	`conf`	State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons. NICE Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
2025	J	`jnl`	State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons. CoRR Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
2024	—	`conf`	Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition? EUSIPCO Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2024	J	`jnl`	Distributed Continual Learning With CoCoA in High-Dimensional Linear Regression. IEEE Trans. Signal Process. Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2024	B	`conf`	Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CEC Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Ayça Özçelikkale, Linus Gisslén
2024	J	`jnl`	Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks. CoRR Sanja Karilanova, Maxime Fabre, Emre Neftci, Ayça Özçelikkale
2023	J	`jnl`	Distributed Continual Learning with CoCoA in High-dimensional Linear Regression. CoRR Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2023	J	`jnl`	Estimation Under Model Misspecification With Fake Features. IEEE Trans. Signal Process. Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2023	A	`conf`	Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. AISTATS David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
2023	—	`conf`	Regularization Trade-offs with Fake Features. EUSIPCO Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2022	J	`jnl`	Continual Learning with Distributed Optimization: Does COCOA Forget? CoRR Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2022	J	`jnl`	Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. CoRR David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
2022	J	`jnl`	Estimation and Model Misspecification: Fake and Missing Features. CoRR Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2022	J	`jnl`	Regularization with Fake Features. CoRR Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2021	J	`jnl`	Application of the Free Energy Principle to Estimation and Control. IEEE Trans. Signal Process. Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch
2021	J	`jnl`	Chance-Constrained Active Inference. CoRR Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch
2021	J	`jnl`	Chance-Constrained Active Inference. Neural Comput. Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch
2021	J	`jnl`	Linear Regression With Distributed Learning: A Generalization Error Perspective. IEEE Trans. Signal Process. Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2021	J	`jnl`	Linear Regression with Distributed Learning: A Generalization Error Perspective. CoRR Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2021	—	`conf`	Model Mismatch Trade-offs in LMMSE Estimation. EUSIPCO Martin Hellkvist, Ayça Özçelikkale
2021	J	`jnl`	Model Mismatch Trade-offs in LMMSE Estimation. CoRR Martin Hellkvist, Ayça Özçelikkale
2020	—	`conf`	Generalization Error for Linear Regression under Distributed Learning. SPAWC Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2020	J	`jnl`	Generalization Error for Linear Regression under Distributed Learning. CoRR Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
2020	J	`jnl`	Sparse Recovery With Non-Linear Fourier Features. CoRR Ayça Özçelikkale
2020	Misc	`conf`	Sparse Recovery with Non-Linear Fourier Features. ICASSP Ayça Özçelikkale
2019	J	`jnl`	Application of the Free Energy Principle to Estimation and Control. CoRR Thijs van de Laar, Ayça Özçelikkale, Henk Wymeersch
2019	—	`conf`	DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks. MLSP Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava, Anders Ahlén
2018	B	`conf`	Impact of Communication Frequency on Remote Control of Automated Vehicles. PIMRC Mohammad A. Nazari, Ayça Özçelikkale, Mario Zanon, Themistoklis Charalambous, Jonas Sjöberg, Henk Wymeersch
2018	—	`conf`	Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. SPAWC Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava
2018	J	`jnl`	Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. CoRR Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava
2018	J	`jnl`	Remote Estimation of Correlated Sources Under Energy Harvesting Constraints. IEEE Trans. Wirel. Commun. Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2018	J	`jnl`	Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing. IEEE Trans. Wirel. Commun. Rong Du, Ayça Özçelikkale, Carlo Fischione, Ming Xiao
2017	—	`conf`	On the resource allocation problem in wireless networked control systems. CDC Themistoklis Charalambous, Ayça Özçelikkale, Mario Zanon, Paolo Falcone, Henk Wymeersch
2017	—	`conf`	Optimal energy beamforming and data routing for immortal wireless sensor networks. ICC Rong Du, Ayça Özçelikkale, Carlo Fischione, Ming Xiao
2017	—	`conf`	Simultaneous information and power transfer under a non-linear RF energy harvesting model. ICC Workshops Xiaowei Xu, Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2017	J	`jnl`	Transmission Strategies for Remote Estimation With an Energy Harvesting Sensor. IEEE Trans. Wirel. Commun. Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2016	J	`jnl`	Feasibility of Ambient RF Energy Harvesting for Self-Sustainable M2M Communications Using Transparent and Flexible Graphene Antennas. IEEE Access Michael A. Andersson, Ayça Özçelikkale, Martin Johansson, Ulrika Engstorm, Andrei Vorobiev, Jan Stake
2016	J	`jnl`	Performance Bounds for Remote Estimation under Energy Harvesting Constraints. CoRR Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2016	B	`conf`	Performance bounds for remote estimation with an energy harvesting sensor. ISIT Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2016	—	`conf`	Simultaneous information and power transfer with transmitters with hardware impairments. ISWCS Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2016	J	`jnl`	Transmission Strategies for Remote Estimation with an Energy Harvesting Sensor. CoRR Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2016	—	`conf`	Transmission strategies for remote estimation under energy harvesting constraints. EUSIPCO Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2015	J	`jnl`	Cooperative Precoding and Artificial Noise Design for Security Over Interference Channels. IEEE Signal Process. Lett. Ayça Özçelikkale, Tolga M. Duman
2015	J	`jnl`	Linear Precoder Design for Simultaneous Information and Energy Transfer Over Two-User MIMO Interference Channels. IEEE Trans. Wirel. Commun. Ayça Özçelikkale, Tolga M. Duman
2015	—	`conf`	MIMO linear precoder design with non-ideal transmitters. ISWCS Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2015	Misc	`conf`	Wireless information and power transfer in MIMO channels under Rician fading. ICASSP Ayça Özçelikkale, Tomas McKelvey, Mats Viberg
2014	B	`conf`	Lower bounds on the error probability of turbo codes. ISIT Ayça Özçelikkale, Tolga M. Duman
2014	J	`jnl`	Short Length Trellis-Based Codes for Gaussian Multiple-Access Channels. IEEE Signal Process. Lett. Ayça Özçelikkale, Tolga M. Duman
2014	J	`jnl`	Unitary Precoding and Basis Dependency of MMSE Performance for Gaussian Erasure Channels. IEEE Trans. Inf. Theory Ayça Özçelikkale, Serdar Yüksel, Haldun M. Özaktas
2013	J	`jnl`	Optimal representation of non-stationary random fields with finite numbers of samples: A linear MMSE framework. Digit. Signal Process. Ayça Özçelikkale, Haldun M. Özaktas
2012	—	`conf`	Average error in recovery of sparse signals and discrete fourier transform. SIU Ayça Özçelikkale, Serdar Yüksel, Haldun M. Özaktas
2011	J	`jnl`	Unitary Precoding and Basis Dependency of MMSE Performance for Gaussian Erasure Channels CoRR Ayça Özçelikkale, Serdar Yüksel, Haldun M. Özaktas
2010	J	`jnl`	Signal recovery with cost-constrained measurements. IEEE Trans. Signal Process. Ayça Özçelikkale, Haldun M. Özaktas, Erdal Arikan
2010	B	`conf`	Super-resolution using multiple quantized images. ICIP Ayça Özçelikkale, Gozde Bozdagi Akar, Haldun M. Özaktas
2007	B	`conf`	Optimal Measurement under Cost Constraints for Estimation of Propagating Wave Fields. ISIT Ayça Özçelikkale, Haldun M. Özaktas, Erdal Arikan