S. Karilanova, M. Fabre, E. Neftci, A. Özçelikkale, Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks, Neural Networks, 2026 (Video)
S. Karilanova, S. Dey, A. Özçelikkale, ``Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback," in IEEE Journal of Selected Topics in Signal Processing, vol. 19, no. 6, pp. 1172-1186, Sept. 2025 (Arxiv) (Video)
S Karilanova, S Dey, A Özçelikkale, State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons, Neuro Inspired Computational Elements (NICE) Conference, 2025 (Video)
Yik et. al, The neurobench framework for benchmarking neuromorphic computing algorithms and systems” Nature Communications, 16, vol. 1545, 2025 (arXiv:2304.04640)
D. Bosch, Ashkan Panahi, A. Özçelikkale, Devdatt Dubhashi, Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization, AISTATS 2023
M. Hellkvist, A. Özçelikkale, A. Ahlén, Distributed Continual Learning with CoCoA in High-dimensional Linear Regression, in IEEE Trans. on Signal Processing, vol. 72, pp. 1015-1031, 2024, doi: 10.1109/TSP.2024.3361714
M. Hellkvist, A. Özçelikkale, A. Ahlén, Estimation Under Model Misspecification With Fake Features in IEEE Trans. on Signal Processing, vol. 71, pp. 47-60, 2023, doi: 10.1109/TSP.2023.3237174
M. Hellkvist, A. Özçelikkale, A. Ahlén, Linear Regression with Distributed Learning: A Generalization Error Perspective IEEE Trans.on Signal Processing, vol. 69, pp. 5479-5495, 2021
T. van de Laar, Ismail Senoz, Ayça Özçelikkale, Henk Wymeersch, Chance-Constrained Active Inference, IEEE Neural Computation, 33(10): 2710-2735, 2021
T. van de Laar, A. Özçelikkale, H. Wymeersch , Application of the Free Energy Principle to Estimation and Control , IEEE Trans. on Signal Processing, vol. 69, pp. 4234-4244, July 2021
M. Koseoglu, A. Özçelikkale, How to miss data? Reinforcement learning for environments with high observation cost (ICML 2020 Workshop -Artemiss)
M. Koseoglu, Ece Kunduracioglu, A. Özçelikkale, Learning to Observe with Reinforcement Learning, ( ICML 2021 Workshop on Reinforcement Learning Theory)
D. Bosch, Ashkan Panahi, A. Özçelikkale, "Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit" (ICML 2021 Workshop Overparameterization: Pitfalls & Opportunities)
A. Özçelikkale, Sparse Recovery with Non-Linear Fourier Features, (ICASSP2020)
G. Pan, A. Özçelikkale, C. Häger, M.F. Keskin, H. Wymeersch, Semantic communication for rate-limited closed-loop distributed communication-sensing-control systems
arXiv preprint arXiv:2512.19177, 2025
S. Karilanova, S. Dey, A. Özçelikkale, Delays in Spiking Neural Networks: A State Space Model Approach, arXiv preprint arXiv:2512.01906, 2025
M. Ravn, C. Glaser, T. Glüsenkamp, A. Özcelikkale, A. Coleman, Likelihood Reconstruction for Radio Detectors of Neutrinos and Cosmic Rays, arXiv preprint arXiv:2510.21925, 2025
[J21] S. Karilanova, M. Fabre, E. Neftci, A. Özçelikkale, Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks, Neural Networks, 2026
[J20] S. Karilanova, S. Dey, A. Özçelikkale, ``Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback," in IEEE Journal of Selected Topics in Signal Processing, vol. 19, no. 6, pp. 1172-1186, Sept. 2025 (Arxiv)
[J19] Yik, J. et al. “The neurobench framework for benchmarking neuromorphic computing algorithms and systems”, Nature Communications, 16, vol. 1545, 2025
[J18] L.Chen, S.Karilanova, S.Chaki, C.Wen, L.Wang, B.Winblad, S.Zhang, A. Özçelikkale, Z.Zhang “Spike-Timing Based Coding in Neuromimetic Tactile System Enables Dynamic Object Classification”. Science. 384(6696):660-665, 2024
[J17] M. Hellkvist, A. Özçelikkale, A. Ahlén, Distributed Continual Learning with CoCoA in High-dimensional Linear Regression, in IEEE Trans. on Signal Processing, vol. 72, pp. 1015-1031, 2024, doi: 10.1109/TSP.2024.3361714
[J16] M. Hellkvist, A. Özçelikkale, A. Ahlén, Estimation Under Model Misspecification With Fake Features in IEEE Trans. on Signal Processing, vol. 71, pp. 47-60, 2023, doi: 10.1109/TSP.2023.3237174
[J15] M. Hellkvist, A. Özçelikkale, A. Ahlén, Linear Regression with Distributed Learning: A Generalization Error Perspective IEEE Trans.on Signal Processing, vol. 69, pp. 5479-5495, 2021
[J14] T. van de Laar, Ismail Senoz, A. Özçelikkale, Henk Wymeersch, Chance-Constrained Active Inference, IEEE Neural Computation, 33(10): 2710-2735, 2021
[J13] T. van de Laar, A. Özçelikkale, H. Wymeersch , Application of the Free Energy Principle to Estimation and Control , IEEE Trans. on Signal Processing, vol. 69, pp. 4234-4244, July 2021
[J12] A. Özçelikkale, T. McKelvey, and M. Viberg, “Remote Estimation of Correlated Sources under Energy Harvesting Constraints”, IEEE Transactions on Wireless Communications, vol. 17, pp. 5300–5313, Aug. 2018
[J11 ] R. Du, A. Özçelikkale, C. Fischione, and M. Xiao, “Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing”, IEEE Transactions on Wireless Communications, vol. 17, pp. 5338–5352, Aug. 2018.
[J10 ] A. Özçelikkale, T. McKelvey, and M. Viberg, ``Transmission strategies for remote estimation with an Energy Harvesting Sensor'', IEEE Transactions on Wireless Communications, vol. 16, no. 7, pp. 4390-4403, July 2017
[J9] M. A. Andersson, A. Özçelikkale, M. Johansson, U. Engström, A. Vorobiev and J. Stake, "Feasibility of ambient RF energy harvesting for self-sustainable M2M communications using transparent and flexible graphene antennas'', IEEE Access, vol. 4, pp. 5850-5857, 2016.
[J8] A. Özçelikkale and T. M. Duman, “Linear Precoder Design for Simultaneous Information and Energy Transfer over Two-User MIMO Interference Channels”, IEEE Transactions on Wireless Communications, vol.~14, no.~10, pp. 5836-5847, Oct. 2015.
[J7] A. Özçelikkale and T. M. Duman, “Cooperative Precoding and Artificial Noise Design for Security over Interference Channels”, IEEE Signal Processing Letters, vol.~22, no.~12, pp.2234-2238, Dec. 2015.
[J6] A. Özçelikkale, S. Yüksel, and H. M. Ozaktas, “Unitary Precoding and Basis Dependency of MMSE Performance for Gaussian Erasure Channels”, IEEE Transactions on Information Theory , vol. 60, no. 11, pp. 7186-7203, Nov. 2014.
[J5] A. Özçelikkale, and T. M. Duman, “Short Length Trellis-Based Codes for Gaussian Multiple-Access Channels”, IEEE Signal Processing Letters, vol. 21, no. 10, pp. 1177-1181, Oct. 2014.
[J4] A. Özçelikkale and H. M. Ozaktas, “Optimal representation of non-stationary random fields with finite numbers of samples: A linear MMSE framework,” Digital Signal Processing, vol.23, no.5, pp.1602-1609, Sep. 2013.
[J3] A. Özçelikkale and H. M. Ozaktas, “Beyond Nyquist Sampling: A Cost-Based Approach,” Journal of Optical Society of America A, vol.30, no.4, pp.645-655, Apr. 2013.
[J2] A. Özçelikkale and H. M. Ozaktas, “Representation of optical fields using finite numbers of bits,” Optics Letters, vol. 37, pp. 2193–2195, June 2012.
[J1] A. Özçelikkale, H. M. Ozaktas, and E. Arıkan, “Signal recovery with cost constrained measurements,” IEEE Transactions on Signal Processing, vol. 58, no. 7, pp. 3607–3617, Jul. 2010.
[C31] S Karilanova, S Dey, A Özçelikkale, State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons, Neuro Inspired Computational Elements (NICE) Conference, 2025
[C30] G. Pan, Z. Li, A. Özçelikkale, C. Häger, M. F. Keskin, H. Wymeersch, Observation Compression in Rate-Limited Closed-Loop Distributed ISAC Systems: From Signal Reconstruction to Control, 2025 IEEE Globecom Workshops, 2025
[C29] S. Wang, A. Özçelikkale and A. Benlarbi-Delai, "Joint Communication and Computation Using RF Amplifier-based Neural Network," 2024 54th European Microwave Conference (EuMC), 2024, pp. 1058-1061, doi: 10.23919/EuMC61614.2024.10732352.
[C28] D. Yadgaroff, A. Sestini, K. Tollmar, A. Özçelikkale, L. Gisslen Improving Generalization in Game Agents with Data Augmentation in Imitation Learning, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024, pp. 1-8, doi: 10.1109/CEC60901.2024.10612178.
[C27] M. Hellkvist, A. Özçelikkale and A. Ahlén, "Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition?," 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, pp. 2652-2656, doi: 10.23919/EUSIPCO63174.2024.10715339
[C26] S. Wang, A. Özçelikkale and A. Benlarbi-Delai, "Joint Communication and Computation Using RF Amplifier-based Neural Network," 2024 54th European Microwave Conference (EuMC), 2024, pp. 1058-1061
[C25] D. Bosch, Ashkan Panahi, A. Özçelikkale, Devdatt Dubhashi, Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves, Proc. of The 26th International Conference on Artificial Intelligence and Statistics, (AISTATS2023), PMLR 206:11371-11414, 2023
[C24] M. Hellkvist, A. Özçelikkale, A. Ahlén, "Regularization Trade-offs with Fake Features," 2023 31st European Signal Processing Conference (EUSIPCO), Helsinki, Finland, 2023, pp. 1270-1274, doi: 10.23919/EUSIPCO58844.2023.10289928.
[C23] M. Hellkvist, A. Özçelikkale, Model Mismatch Tradeoffs in LMMSE Estimation , 2021 29th European Signal Processing Conference (EUSIPCO), p2045-2049 , 2021
[C22] M. Koseoglu, Ece Kunduracioglu, A. Özçelikkale, Learning to Observe with Reinforcement Learning, , ICML 2021 Workshop on Reinforcement Learning Theory, 2021
[C21] D. Bosch, Ashkan Panahi, A. Özçelikkale, "Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit" ICML 2021 Workshop Overparameterization: Pitfalls & Opportunities
[C20] M. Hellkvist, A. Özçelikkale, A. Ahlén, "Generalization Error and Overparameterization While Learning over Networks", ICML 2021 Workshop Overparameterization: Pitfalls & Opportunities
[C19] A. Özçelikkale, Sparse Recovery with Non-Linear Fourier Features, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5715-5719, 2020.
[C18] M. Hellkvist, A. Özçelikkale, A. Ahlén, Generalization Error for Linear Regression under Distributed Learning, Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications, (SPAWC), 2020 . (Invited Paper)
[C17 ] M. Koseoglu, A. Özçelikkale, How to miss data? Reinforcement learning for environments with high observation cost , ICML 2020 Workshop -Artemiss, 2020
[C16] A. Özçelikkale, M.Koseoglu, M. Srivastava and Anders Ahlén, "Deep reinforcement learning based energy beamforming for powering sensor networks", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019 (See also here)
[C15] A. Özçelikkale, M.Koseoglu,and M. Srivastava, “Optimization vs. reinforcement learning for wirelessly powered sensor networks", IEEE International Workshop on Signal Processing Advances in Wireless Communications, (SPAWC) June 2018. (Invited Paper)
[C14] M. A. Nazari, A. Özçelikkale, M. Zanon, T. Charalambous, J. Sjoberg, and H. Wymeersch, “Impact of communication frequency on remote control of automated vehicles,” in Proc. of the IEEE Inter. Symposium on Personal, Indoor and Mobile Radio Communications, (PIMRC), 2018
[C13] T. Charalambous, A. Özçelikkale, M. Zanon, P. Falcone, and H. Wymeersch, “On the Resource Allocation Problem in Wireless Networked Control Systems”, 2017 IEEE Conference on Decision and Control (CDC), Dec. 2017.
[C12] R. Du, A. Özçelikkale, C. Fischione, and M. Xiao, “Optimal Energy Beamforming and Data Routing for Immortal Wireless Sensor Networks", 2017 IEEE International Conference on Communications (ICC), 2017.
[C11] X. Xu, A. Özçelikkale, T. McKelvey, and M. Viberg, “Simultaneous Information and Power Transfer under a Non-Linear RF Energy Harvesting Model", 2017 IEEE International Conference on Communications (ICC) -Workshop on Emerging Energy Harvesting Solutions for 5G Networks, pp. 179-184, 2017.
[C10] A. Özçelikkale, T. McKelvey, and M. Viberg, ``Performance Bounds for Remote Estimation with an Energy Harvesting Sensor'', Proc. IEEE Int. Symp. Information Theory (ISIT), pp. 460-464, July 2016.
[C9]A. Özçelikkale, T. McKelvey, and M. Viberg, ``Transmission strategies for remote estimation under energy harvesting constraints'', 2016 European Conference on Signal Processing (EUSIPCO), pp. 572-576, Aug. 2016. (Invited Paper)
[C8] A. Özçelikkale, T. McKelvey, and M. Viberg, ``Simultaneous information and power transfer with transmitters with hardware impairments'', 2016 International Symposium on Wireless Communication Systems (ISWCS), pp.114 -118, Sept. 2016.
[C7] A. Özçelikkale, T. McKelvey, and M, Viberg, “MIMO Linear Precoder Design with Non-Ideal Transmitters”, 2015 International Symposium on Wireless Communication Systems (ISWCS), August 2015.
[C6] A. Özçelikkale, T. McKelvey, and M. Viberg, “Wireless Information and Power Transfer in MIMO Channels under Rician fading”, Proc. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3187-3191, April 2015.
[C5] A. Özçelikkale, and T. M. Duman, “Lower Bounds on the Error Probability of Turbo Codes”, Proc. 2014 IEEE Int. Symp. Information Theory (ISIT), pp. 3170-3174, June 2014.
[C4] A. Özçelikkale, S. Yüksel, and H. M. Özaktaş, “Average error in recovery of sparse signals and discrete Fourier transform (In Turkish: Seyrek işaretlerin geri kazanımında ortalama hata ve ayrık Fourier dönüşümü),” in Proc. 2012 IEEE Signal Process. and Commun. App. Conf., Apr. 2012 (Runner for Best Student Paper Award).
[C3] A. Özçelikkale, G. B. Akar, and H. M. Ozaktas, “Super-resolution using multiple quantized images,” 2010 IEEE Int. Conf. on Image Processing (ICIP), pp. 2029–2032.
[C2] A. Özçelikkale, H. M. Ozaktas, and E. Arıkan, “Optimal measurement under cost constraints for estimation of propagating wave fields,” Proc. 2007 IEEE Int. Symp. Information Theory (ISIT), pp. 696–700.
[C1] A. Özçelikkale, H. M. Ozaktas, and E. Arıkan, “Measurement strategies for input estimation in linear systems (In Turkish: Doğrusal sistemlerde girdi kestirimi için ölçüm yöntemleri),” in Proc. 2007 IEEE Signal Process. and Commun. App. Conf.(Best Student Paper Award, 2nd place).