Ayca Özcelikkale

Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition?

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of 32nd European Signal Processing Conference (EUSIPCO 2024), p. 2652-2656, 2024

• DOI for Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition?

Spike timing–based coding in neuromimetic tactile system enables dynamic object classification

Chen, Libo; Karilanova, Sanja; Chaki, Soumi; Wen, Chenyu et al.

Part of Science, p. 660-665, 2024

• DOI for Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
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Distributed Continual Learning with CoCoA in High-Dimensional Linear Regression

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 1015-1031, 2024

• DOI for Distributed Continual Learning with CoCoA in High-Dimensional Linear Regression

Estimation Under Model Misspecification With Fake Features

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 47-60, 2023

• DOI for Estimation Under Model Misspecification With Fake Features
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Linear Regression With Distributed Learning: A Generalization Error Perspective

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 5479-5495, 2021

• DOI for Linear Regression With Distributed Learning: A Generalization Error Perspective
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Chance-Constrained Active Inference

van de Laar, Thijs; Senoz, Ismail; Özcelikkale, Ayca; Wymeersch, Henk

Part of Neural Computation, p. 2710-2735, 2021

• DOI for Chance-Constrained Active Inference

Application of the Free Energy Principle to Estimation and Control

van de Laar, Thijs; Özcelikkale, Ayca; Wymeersch, Henk

Part of IEEE Transactions on Signal Processing, p. 4234-4244, 2021

• DOI for Application of the Free Energy Principle to Estimation and Control

Model Mismatch Trade-offs in LMMSE Estimation

Hellkvist, Martin; Özcelikkale, Ayca

Part of 29th European signal processing conference (EUSIPCO 2021), p. 2045-2049, 2021

• Download full text (pdf) of Model Mismatch Trade-offs in LMMSE Estimation

Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit

Bosch, David; Panahi, Ashkan; Özcelikkale, Ayca

2021

Generalization Error for Linear Regression under Distributed Learning

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020

• DOI for Generalization Error for Linear Regression under Distributed Learning
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Sparse Recovery with Non-Linear Fourier Features

Özcelikkale, Ayca

Part of ICASSP 2020, p. 5715-5719, 2020

• DOI for Sparse Recovery with Non-Linear Fourier Features

Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing

Du, Rong; Özcelikkale, Ayca; Fischione, Carlo; Xiao, Ming

Part of IEEE Transactions on Wireless Communications, p. 5338-5352, 2018

• DOI for Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing
• Download full text (pdf) of Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing

Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks

Karilanova, Sanja; Fabre, Maxime; Neftci, Emre; Özçelikkale, Ayça

Part of Neural Networks, 2026

• DOI for Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
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Observation Compression in Rate-Limited Closed-Loop Distributed ISAC Systems: From Signal Reconstruction to Control

Pan, Guangjin; Li, Zhixing; Özcelikkale, Ayca; Häger, Christian et al.

Part of IEEE Globecom Workshops, 2025

Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

Part of IEEE Journal on Selected Topics in Signal Processing, p. 1172-1186, 2025

• DOI for Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
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State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

Part of 2025 Neuro Inspired Computational Elements (NICE), 2025

• DOI for State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
• Download full text (pdf) of State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons

The neurobench framework for benchmarking neuromorphic computing algorithms and systems

Yik, Jason; van den Berghe, Korneel; den Blanken, Douwe; Bouhadjar, Younes et al.

Part of Nature Communications, 2025

• DOI for The neurobench framework for benchmarking neuromorphic computing algorithms and systems
• Download full text (pdf) of The neurobench framework for benchmarking neuromorphic computing algorithms and systems

Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks

Karilanova, Sanja; Fabre, Maxime; Neftci, Emre; Özçelikkale, Ayça

Part of Neural Networks, 2026

• DOI for Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
• Download full text (pdf) of Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks

Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

Part of IEEE Journal on Selected Topics in Signal Processing, p. 1172-1186, 2025

• DOI for Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
• Download full text (pdf) of Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback

The neurobench framework for benchmarking neuromorphic computing algorithms and systems

Yik, Jason; van den Berghe, Korneel; den Blanken, Douwe; Bouhadjar, Younes et al.

Part of Nature Communications, 2025

• DOI for The neurobench framework for benchmarking neuromorphic computing algorithms and systems
• Download full text (pdf) of The neurobench framework for benchmarking neuromorphic computing algorithms and systems

Spike timing–based coding in neuromimetic tactile system enables dynamic object classification

Chen, Libo; Karilanova, Sanja; Chaki, Soumi; Wen, Chenyu et al.

Part of Science, p. 660-665, 2024

• DOI for Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
• Download full text (pdf) of Spike timing–based coding in neuromimetic tactile system enables dynamic object classification

Distributed Continual Learning with CoCoA in High-Dimensional Linear Regression

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 1015-1031, 2024

• DOI for Distributed Continual Learning with CoCoA in High-Dimensional Linear Regression

Estimation Under Model Misspecification With Fake Features

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 47-60, 2023

• DOI for Estimation Under Model Misspecification With Fake Features
• Download full text (pdf) of Estimation Under Model Misspecification With Fake Features

Linear Regression With Distributed Learning: A Generalization Error Perspective

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 5479-5495, 2021

• DOI for Linear Regression With Distributed Learning: A Generalization Error Perspective
• Download full text (pdf) of Linear Regression With Distributed Learning: A Generalization Error Perspective

Chance-Constrained Active Inference

van de Laar, Thijs; Senoz, Ismail; Özcelikkale, Ayca; Wymeersch, Henk

Part of Neural Computation, p. 2710-2735, 2021

• DOI for Chance-Constrained Active Inference

Application of the Free Energy Principle to Estimation and Control

van de Laar, Thijs; Özcelikkale, Ayca; Wymeersch, Henk

Part of IEEE Transactions on Signal Processing, p. 4234-4244, 2021

• DOI for Application of the Free Energy Principle to Estimation and Control

Remote Estimation of Correlated Sources Under Energy Harvesting Constraints

Özcelikkale, Ayca; McKelvey, Tomas; Viberg, Mats

Part of IEEE Transactions on Wireless Communications, p. 5300-5313, 2018

• DOI for Remote Estimation of Correlated Sources Under Energy Harvesting Constraints
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Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing

Du, Rong; Özcelikkale, Ayca; Fischione, Carlo; Xiao, Ming

Part of IEEE Transactions on Wireless Communications, p. 5338-5352, 2018

• DOI for Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing
• Download full text (pdf) of Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing

Transmission strategies for remote estimation with an energy harvesting sensor

Özcelikkale, Ayca; McKelvey, Tomas; Viberg, Mats

Part of IEEE Transactions on Wireless Communications, p. 4390-4403, 2017

• DOI for Transmission strategies for remote estimation with an energy harvesting sensor

Observation Compression in Rate-Limited Closed-Loop Distributed ISAC Systems: From Signal Reconstruction to Control

Pan, Guangjin; Li, Zhixing; Özcelikkale, Ayca; Häger, Christian et al.

Part of IEEE Globecom Workshops, 2025

State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

Part of 2025 Neuro Inspired Computational Elements (NICE), 2025

• DOI for State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
• Download full text (pdf) of State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning

Yadgaroff, Derek; Sestini, A.; Tollmar, K.; Özcelikkale, Ayca et al.

Part of 2024 IEEE Congress on Evolutionary Computation (CEC), p. 1-8, 2024

• DOI for Improving Generalization in Game Agents with Data Augmentation in Imitation Learning

Joint Communication and Computation Using RF Amplifier-based Neural Network

Wang, Siqi; Özcelikkale, Ayca; Benlarbi-Delai, Aziz

Part of 2024 54th European Microwave Conference (EuMC), p. 1058-1061, 2024

• DOI for Joint Communication and Computation Using RF Amplifier-based Neural Network

Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition?

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of 32nd European Signal Processing Conference (EUSIPCO 2024), p. 2652-2656, 2024

• DOI for Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition?

Regularization Trade-offs with Fake Features

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of 2023 31st European Signal Processing Conference (EUSIPCO), p. 1270-1274, 2023

• DOI for Regularization Trade-offs with Fake Features
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Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves

Bosch, David; Panahi, Ashkan; Özcelikkale, Ayca; Dubhashi, Devdatt

Part of Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023

Model Mismatch Trade-offs in LMMSE Estimation

Hellkvist, Martin; Özcelikkale, Ayca

Part of 29th European signal processing conference (EUSIPCO 2021), p. 2045-2049, 2021

• Download full text (pdf) of Model Mismatch Trade-offs in LMMSE Estimation

Generalization Error and Overparameterization While Learning over Networks

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

2021

• Download full text (pdf) of Generalization Error and Overparameterization While Learning over Networks

Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit

Bosch, David; Panahi, Ashkan; Özcelikkale, Ayca

2021

Learning to Observe with Reinforcement Learning

Koseoglu, Mehmet; Kunduracioglu, Ece; Özcelikkale, Ayca

2021

How to miss data?: Reinforcement learning for environments with high observation cost

Koseoglu, M; Özcelikkale, Ayca

2020

Generalization Error for Linear Regression under Distributed Learning

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020

• DOI for Generalization Error for Linear Regression under Distributed Learning
• Download full text (pdf) of Generalization Error for Linear Regression under Distributed Learning

Sparse Recovery with Non-Linear Fourier Features

Özcelikkale, Ayca

Part of ICASSP 2020, p. 5715-5719, 2020

• DOI for Sparse Recovery with Non-Linear Fourier Features

How to miss data? Reinforcement learning for environments with high observation cost

Koseoglu, Mehmet; Özcelikkale, Ayca

2020

Deep reinforcement learning based energy beamforming for powering sensor networks

Özcelikkale, Ayca; Koseoglu, Mehmet; Srivastava, Mani; Ahlén, Anders

Part of 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP 2019), 2019

• DOI for Deep reinforcement learning based energy beamforming for powering sensor networks
• Download full text (pdf) of Deep reinforcement learning based energy beamforming for powering sensor networks

Impact of communication frequency on remote control of automated vehicles

Nazari, M A; Özcelikkale, Ayca; Zanon, M; Charalambous, T et al.

Part of 2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2018

• DOI for Impact of communication frequency on remote control of automated vehicles

Optimization vs. reinforcement learning for wirelessly powered sensor networks

Özcelikkale, Ayca; Koseoglu, Mehmet; Srivastava, Mani

Part of 2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC)286-290, p. 286-290, 2018

• Download full text (pdf) of Optimization vs. reinforcement learning for wirelessly powered sensor networks

On the Resource Allocation Problem in Wireless Networked Control Systems

Charalambous, Themistoklis; Özcelikkale, Ayca; Zanon, Mario; Falcone, Paolo et al.

Part of 2017 IEEE 56Th Annual Conference On Decision And Control (Cdc), p. 4147-4154, 2017

• DOI for On the Resource Allocation Problem in Wireless Networked Control Systems

Inertia estimation methods for hydropower units

Dahlborg, Elin; Norrlund, Per; Saarinen, Linn; Özcelikkale, Ayca et al.