Ozan Özdenizci

64 papers A* 3B 4Misc 2Journal 38Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks. CoRR Maximilian Baronig, Yeganeh Bahariasl, Ozan Özdenizci, Robert Legenstein
2025	—	`conf`	Adversarially Robust Spiking Neural Networks with Sparse Connectivity. CPAL Mathias Schmolli, Maximilian Baronig, Robert Legenstein, Ozan Özdenizci
2025	J	`jnl`	Adversarially Robust Spiking Neural Networks with Sparse Connectivity. CoRR Mathias Schmolli, Maximilian Baronig, Robert Legenstein, Ozan Özdenizci
2025	J	`jnl`	Learning Robust Representations for Visual Reinforcement Learning via Task-Relevant Mask Sampling. Trans. Mach. Learn. Res. Vedant Dave, Ozan Özdenizci, Elmar Rueckert
2025	J	`jnl`	Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity. IEEE Trans. Neural Networks Learn. Syst. Thomas Limbacher, Ozan Özdenizci, Robert Legenstein
2025	A*	`conf`	Privacy-Aware Lifelong Learning. ICLR Ozan Özdenizci, Elmar Rueckert, Robert Legenstein
2025	J	`jnl`	Privacy-Aware Lifelong Learning. CoRR Ozan Özdenizci, Elmar Rueckert, Robert Legenstein
2025	J	`jnl`	ReLI: A Language-Agnostic Approach to Human-Robot Interaction. CoRR Linus Nwankwo, Bjoern Ellensohn, Ozan Özdenizci, Elmar Rueckert
2025	—	`conf`	Sparsifying Instance Segmentation Models for Efficient Vision-Based Industrial Recycling. ECML/PKDD (10) Melanie Neubauer, Ozan Özdenizci, Justus H. Piater, Elmar Rueckert
2025	J	`jnl`	ViTaPEs: Visuotactile Position Encodings for Cross-Modal Alignment in Multimodal Transformers. CoRR Fotios Lygerakis, Ozan Özdenizci, Elmar A. Rückert
2024	J	`jnl`	Adversarially Robust Spiking Neural Networks Through Conversion. Trans. Mach. Learn. Res. Ozan Özdenizci, Robert Legenstein
2024	B	`conf`	Enhancing Adversarial Robustness of Anomaly Detection-Based IDS in OT Environments. CNSM Andreas Flatscher, Branka Stojanovic, Ozan Özdenizci
2024	—	`conf`	Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints. ECML/PKDD (5) Jasmin Viktoria Gritsch, Robert Legenstein, Ozan Özdenizci
2023	J	`jnl`	Adversarially Robust Spiking Neural Networks Through Conversion. CoRR Ozan Özdenizci, Robert Legenstein
2023	—	`conf`	Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks. ICANN (10) Francisco Javier Klaiber Aboitiz, Robert Legenstein, Ozan Özdenizci
2023	J	`jnl`	Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. Ozan Özdenizci, Robert Legenstein
2023	—	`conf`	TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. EUSIPCO Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci
2023	J	`jnl`	TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. CoRR Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci
2022	Misc	`conf`	Domain-Invariant Representation Learning from EEG with Private Encoders. ICASSP David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
2022	J	`jnl`	Domain-Invariant Representation Learning from EEG with Private Encoders. CoRR David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
2022	B	`conf`	EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. SMC David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt
2022	J	`jnl`	EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. CoRR David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt
2022	—	`conf`	Exploiting Multiple EEG Data Domains with Adversarial Learning. EMBC David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
2022	J	`jnl`	Exploiting Multiple EEG Data Domains with Adversarial Learning. CoRR David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
2022	A*	`conf`	Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching. CVPR Ozan Özdenizci, Robert Legenstein
2022	J	`jnl`	Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. CoRR Thomas Limbacher, Ozan Özdenizci, Robert Legenstein
2022	J	`jnl`	Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models. CoRR Ozan Özdenizci, Robert Legenstein
2021	J	`jnl`	EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks. CoRR Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya
2021	J	`jnl`	EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks. Biomed. Signal Process. Control. Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya
2021	—	`conf`	On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. NER Ozan Özdenizci, Deniz Erdogmus
2021	J	`jnl`	On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. CoRR Ozan Özdenizci, Deniz Erdogmus
2021	J	`jnl`	Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. CoRR Ozan Özdenizci, Deniz Erdogmus
2021	J	`jnl`	Stochastic mutual information gradient estimation for dimensionality reduction networks. Inf. Sci. Ozan Özdenizci, Deniz Erdogmus
2021	A*	`conf`	Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling. ICML Ozan Özdenizci, Robert Legenstein
2021	J	`jnl`	Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. IEEE J. Biomed. Health Informatics Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2020	J	`jnl`	Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	—	`conf`	Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Information Theoretic Feature Transformation Learning for Brain Interfaces. IEEE Trans. Biomed. Eng. Ozan Özdenizci, Deniz Erdogmus
2020	J	`jnl`	Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2019	J	`jnl`	Adversarial Deep Learning in EEG Biometrics. CoRR Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2019	J	`jnl`	Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2019	—	`conf`	Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. GBCIC Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus
2019	J	`jnl`	Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. CoRR Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus
2019	J	`jnl`	Information Theoretic Feature Transformation Learning for Brain Interfaces. CoRR Ozan Özdenizci, Deniz Erdogmus
2019	B	`conf`	Neural Signatures of Motor Skill in the Resting Brain. SMC Ozan Özdenizci, Timm Meyer, Felix A. Wichmann, Jan Peters, Bernhard Schölkopf, Müjdat Çetin, Moritz Grosse-Wentrup
2019	—	`conf`	Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2018	—	`conf`	Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. EMBC Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus
2018	J	`jnl`	Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. CoRR Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus
2018	—	`conf`	Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. PervasiveHealth Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis
2018	—	`conf`	Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. EMBC Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin
2018	J	`jnl`	Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. CoRR Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin
2018	J	`jnl`	Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2017	—	`conf`	Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity. GBCIC Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin
2017	—	`conf`	Information theoretic feature projection for single-trial brain-computer interfaces. MLSP Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus
2017	J	`jnl`	Personalized Brain-Computer Interface Models for Motor Rehabilitation. CoRR Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
2017	B	`conf`	Personalized brain-computer interface models for motor rehabilitation. SMC Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
2017	Misc	`conf`	Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning. ICASSP Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin
2016	—	`conf`	Resting-state EEG correlates of motor learning performance in a force-field adaptation task. SIU Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin
2015	—	`conf`	Adaptive neurofeedback on parieto-occipital cortex for motor learning performance. SIU Ozan Özdenizci, Timm Meyer, Müjdat Çetin, Moritz Grosse-Wentrup
2015	J	`jnl`	Causal interpretation rules for encoding and decoding models in neuroimaging. CoRR Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
2015	J	`jnl`	Causal interpretation rules for encoding and decoding models in neuroimaging. NeuroImage Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup