Azarakhsh Jalalvand

44 papers A* 1A 3B 8C 1Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Multimodal Super-Resolution: Discovering Hidden Physics and Its Application to Fusion Plasmas (Abstract Reprint). AAAI Azarakhsh Jalalvand, SangKyeun Kim, Jaemin Seo, Qiming Hu, Max Curie, Peter Steiner, Andrew Oakleigh Nelson, Yong-Su Na, Egemen Kolemen
2026	J	`jnl`	TokEye: Fast Signal Extraction for Fluctuating Time Series via Offline Self-Supervised Learning From Fusion Diagnostics to Bioacoustics. CoRR Nathaniel Chen, Kouroche Bouchiat, Peter Steiner, Andrew Rothstein, David R. Smith, Max Austin, Michael Van Zeeland, Azarakhsh Jalalvand, Egemen Kolemen
2025	J	`jnl`	Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments. CoRR Andrew Rothstein, Hiro Josep Farre Kaga, Jalal Butt, Ricardo Shousha, Keith Erickson, Takuma Wakatsuki, Azarakhsh Jalalvand, Peter Steiner, SangKyeun Kim, Egemen Kolemen
2025	J	`jnl`	Regulation Compliant AI for Fusion: Real-Time Image Analysis-Based Control of Divertor Detachment in Tokamaks. CoRR Nathaniel Chen, Cheolsik Byun, Azarakhsh Jalalvand, SangKyeun Kim, Andrew Rothstein, Filippo Scotti, Steve Allen, David Eldon, Keith Erickson, Egemen Kolemen
2024	J	`jnl`	Avoiding fusion plasma tearing instability with deep reinforcement learning. Nat. Jaemin Seo, SangKyeun Kim, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha, Egemen Kolemen
2024	J	`jnl`	Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion. CoRR Azarakhsh Jalalvand, Max Curie, SangKyeun Kim, Peter Steiner, Jaemin Seo, Qiming Hu, Andrew Oakleigh Nelson, Egemen Kolemen
2024	J	`jnl`	Model-free stabilization via Extremum Seeking using a cost neural estimator. Expert Syst. Appl. Sara Dubbioso, Azarakhsh Jalalvand, Josiah Wai, Gianmaria De Tommasi, Egemen Kolemen
2024	J	`jnl`	Real-time confinement regime detection in fusion plasmas with convolutional neural networks and high-bandwidth edge fluctuation measurements. Mach. Learn. Sci. Technol. Kevin Gill, David R. Smith, Semin Joung, Benedikt Geiger, George McKee, J. Zimmerman, Ryan N. Coffee, Azarakhsh Jalalvand, Egemen Kolemen
2023	B	`conf`	Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility. IJCNN Alvin V. Garcia, Azarakhsh Jalalvand, Peter Steiner, Andrew Rothstein, Michael Van Zeeland, William W. Heidbrink, Egemen Kolemen
2023	B	`conf`	Application of neural networks in beam emission spectroscopy modelling. IJCNN Azarakhsh Jalalvand, Ors Asztalos, Mate Karacsonyi, Gergo I. Pokol
2023	J	`jnl`	Cluster-Based Input Weight Initialization for Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
2023	J	`jnl`	Exploring unsupervised pre-training for echo state networks. Neural Comput. Appl. Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
2023	J	`jnl`	Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process. Appl. Intell. Davi Alberto Sala, Andy Van Yperen-De Deyne, Erik Mannens, Azarakhsh Jalalvand
2023	B	`conf`	Multimodal Prediction of Tearing Instabilities in a Tokamak. IJCNN Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen
2023	B	`conf`	Non-Standard Echo State Networks for Video Door State Monitoring. IJCNN Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
2022	J	`jnl`	PyRCN: A toolbox for exploration and application of Reservoir Computing Networks. Eng. Appl. Artif. Intell. Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz
2022	J	`jnl`	Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma. IEEE Trans. Neural Networks Learn. Syst. Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, Geert Verdoolaege, Egemen Kolemen
2021	J	`jnl`	Cluster-based Input Weight Initialization for Echo State Networks. CoRR Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
2021	—	`conf`	Improved Acoustic Modeling for Automatic Piano Music Transcription Using Echo State Networks. IWANN (2) Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
2021	J	`jnl`	Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
2021	J	`jnl`	Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
2021	J	`jnl`	PyRCN: Exploration and Application of ESNs. CoRR Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz
2021	—	`conf`	Unsupervised Pretraining of Echo State Networks for Onset Detection. ICANN (5) Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
2020	B	`conf`	Feature Engineering and Stacked Echo State Networks for Musical Onset Detection. ICPR Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz
2020	J	`jnl`	Indoor human activity recognition using high-dimensional sensors and deep neural networks. Neural Comput. Appl. Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve
2020	—	`conf`	Multipitch tracking in music signals using Echo State Networks. EUSIPCO Peter Steiner, Simon Stone, Peter Birkholz, Azarakhsh Jalalvand
2018	J	`jnl`	Indoor Person Identification Using a Low-Power FMCW Radar. IEEE Trans. Geosci. Remote. Sens. Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene
2018	C	`conf`	Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace. ICMLA Davi Alberto Sala, Azarakhsh Jalalvand, Andy Van Yperen-De Deyne, Erik Mannens
2018	J	`jnl`	On the application of reservoir computing networks for noisy image recognition. Neurocomputing Azarakhsh Jalalvand, Kris Demuynck, Wesley De Neve, Jean-Pierre Martens
2017	B	`conf`	Dynamically Reconfigurable Architecture for Fault-Tolerant 2D Networks-on-Chip. ICCCN Poona Bahrebar, Azarakhsh Jalalvand, Dirk Stroobandt
2016	B	`conf`	An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks. ICMR Baptist Vandersmissen, Lucas Sterckx, Thomas Demeester, Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle
2016	B	`conf`	Towards using Reservoir Computing Networks for noise-robust image recognition. IJCNN Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle, Jean-Pierre Martens
2015	—	`conf`	Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents. CICSyN Azarakhsh Jalalvand, Glenn Van Wallendael, Rik Van de Walle
2015	J	`jnl`	Robust continuous digit recognition using Reservoir Computing. Comput. Speech Lang. Azarakhsh Jalalvand, Fabian Triefenbach, Kris Demuynck, Jean-Pierre Martens
2014	—	`conf`	Adaptive multicast routing method for 3D mesh-based Networks-on-Chip. SoCC Poona Bahrebar, Azarakhsh Jalalvand, Dirk Stroobandt
2013	J	`jnl`	Acoustic Modeling With Hierarchical Reservoirs. IEEE Trans. Speech Audio Process. Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens
2013	A	`conf`	Context-dependent modeling and speaker normalization applied to reservoir-based phone recognition. INTERSPEECH Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens
2013	—	`conf`	Feature enhancement with a Reservoir-based Denoising Auto Encoder. ISSPIT Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens
2013	—	`conf`	Noise robust continuous digit recognition with reservoir-based acoustic models. ISPACS Azarakhsh Jalalvand, Kris Demuynck, Jean-Pierre Martens
2012	A	`conf`	Continuous Digit Recognition in Noise: Reservoirs can do an excellent job! INTERSPEECH Azarakhsh Jalalvand, Fabian Triefenbach, Jean-Pierre Martens
2011	A	`conf`	Connected Digit Recognition by Means of Reservoir Computing. INTERSPEECH Azarakhsh Jalalvand, Fabian Triefenbach, David Verstraeten, Jean-Pierre Martens
2011	J	`jnl`	Optimized discriminative transformations for speech features based on minimum classification error. Pattern Recognit. Lett. Behzad Zamani, Ahmad Akbari, Babak Nasersharif, Azarakhsh Jalalvand
2010	J	`jnl`	Discriminative transformation for speech features based on genetic algorithm and HMM likelihoods. IEICE Electron. Express Behzad Zamani, Ahmad Akbari, Babak Nasersharif, Mehdi Mohammadi, Azarakhsh Jalalvand
2010	—	`conf`	Phoneme Recognition with Large Hierarchical Reservoirs. NIPS Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen, Jean-Pierre Martens