PUBLICATIONS

Selected Publications

D. Bosch,  Ashkan Panahi,  A. Özçelikkale, Devdatt Dubhashi, Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization,  (Accepted to 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, (Accepted to 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)

M. Hellkvist, A. Özçelikkale, A. Ahlén,  "Generalization Error and Overparameterization While Learning over Networks",   (ICML 2021 Workshop Overparameterization: Pitfalls & Opportunities)

A. Özçelikkale, Sparse Recovery with Non-Linear Fourier Features, (Accepted to ICASSP2020)

Journal Papers

[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

[J14T. van de Laar, Ismail Senoz, Ayça Özçelikkale, Henk Wymeersch, Chance-Constrained Active Inference,  IEEE Neural Computation, 33(10): 2710-2735, 2021 

[J13T. 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.

Conference Papers

[C26] 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) (Accepted)

[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).