Alexander Gepperth

102 papers B 31C 3Journal 28Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Practical Guide to Streaming Continual Learning. CoRR Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2026	J	`jnl`	A practical guide to streaming continual learning. Neurocomputing Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2026	J	`jnl`	CRoSS: A Continual Robotic Simulation Suite for Scalable Reinforcement Learning with High Task Diversity and Realistic Physics Simulation. CoRR Yannick Denker, Alexander Gepperth
2025	—	`conf`	Adiabatic Reinforcement Learning. ICAR Pavel Osinenko, Grigory Yaremenko, Danil Belov, Alexander Gepperth
2024	B	`conf`	Adiabatic replay for continual learning. IJCNN Alexander Krawczyk, Alexander Gepperth
2024	—	`conf`	An analysis of best-practice strategies for replay and rehearsal in continual learning. CVPR Workshops Alexander Krawczyk, Alexander Gepperth
2024	B	`conf`	Continual Learning of Deep Neural Networks in The Age of Big Data. ESANN Alexander Gepperth, Timothée Lesort
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
2024	—	`conf`	Continual Reinforcement Learning Without Replay Buffers. IS Alexander Krawczyk, Benedikt Bagus, Yannick Denker, Alexander Gepperth
2024	—	`conf`	Enhancing the Robustness of Model-Predictive Control using GMMs as Outlier Detection. IS Leander J. Féret, Alexander Gepperth, Steven Lambeck
2024	—	`conf`	Generalizing Self-organizing Maps: Large-Scale Training of GMMs and Applications in Data Science. WSOM+ Alexander Gepperth
2024	B	`conf`	Informative Performance Measures for Continual Reinforcement Learning. ICCP Yannick Denker, Benedikt Bagus, Alexander Krawczyk, Alexander Gepperth
2024	—	`conf`	Probabilistic Models with Invariance. WSOM+ Alexander Gepperth
2024	J	`jnl`	Safe contextual Bayesian optimization integrated in industrial control for self-learning machines. J. Intell. Manuf. Stefano De Blasi, Maryam Bahrami, Elmar Engels, Alexander Gepperth
2023	J	`jnl`	Adiabatic replay for continual learning. CoRR Alexander Krawczyk, Alexander Gepperth
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
2023	—	`conf`	Free-Hand Gesture Recognition Using Conv3D-Networks with Cross Stitch Units for Multi-Modal Data. ICDL Monika Schak, Alexander Gepperth
2023	J	`jnl`	Large-scale gradient-based training of Mixtures of Factor Analyzers. CoRR Alexander Gepperth
2023	J	`jnl`	On the improvement of model-predictive controllers. CoRR Leander J. Féret, Alexander Gepperth, Steven Lambeck
2022	B	`conf`	A Study of Continual Learning Methods for Q-Learning. IJCNN Benedikt Bagus, Alexander Gepperth
2022	J	`jnl`	A Study of Continual Learning Methods for Q-Learning. CoRR Benedikt Bagus, Alexander Gepperth
2022	B	`conf`	A new perspective on probabilistic image modeling. IJCNN Alexander Gepperth
2022	J	`jnl`	A new perspective on probabilistic image modeling. CoRR Alexander Gepperth
2022	B	`conf`	An empirical comparison of generators in replay-based continual learning. ESANN Nadzeya Dzemidovich, Alexander Gepperth
2022	J	`jnl`	Beyond Supervised Continual Learning: a Review. CoRR Benedikt Bagus, Alexander Gepperth, Timothée Lesort
2022	—	`conf`	Gesture MNIST: A New Free-Hand Gesture Dataset. ICANN (4) Monika Schak, Alexander Gepperth
2022	—	`conf`	Gesture Recognition and Multi-modal Fusion on a New Hand Gesture Dataset. ICPRAM (Revised Selected Papers) Monika Schak, Alexander Gepperth
2022	C	`conf`	Gesture Recognition on a New Multi-Modal Hand Gesture Dataset. ICPRAM Monika Schak, Alexander Gepperth
2022	B	`conf`	Large-scale gradient-based training of Mixtures of Factor Analyzers. IJCNN Alexander Gepperth
2022	B	`conf`	Tutorial - Continual Learning beyond classification. ESANN Alexander Gepperth, Timothée Lesort
2021	B	`conf`	An Investigation of Replay-based Approaches for Continual Learning. IJCNN Benedikt Bagus, Alexander Gepperth
2021	J	`jnl`	An Investigation of Replay-based Approaches for Continual Learning. CoRR Benedikt Bagus, Alexander Gepperth
2021	J	`jnl`	Continual Learning with Fully Probabilistic Models. CoRR Benedikt Pfülb, Alexander Gepperth, Benedikt Bagus
2021	J	`jnl`	Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data. Neural Process. Lett. Alexander Gepperth, Benedikt Pfülb
2021	B	`conf`	Image Modeling with Deep Convolutional Gaussian Mixture Models. IJCNN Alexander Gepperth, Benedikt Pfülb
2021	J	`jnl`	Image Modeling with Deep Convolutional Gaussian Mixture Models. CoRR Alexander Gepperth, Benedikt Pfülb
2021	B	`conf`	Multi-Pronged Safe Bayesian Optimization for High Dimensions. SMC Stefano De Blasi, Alexander Neifer, Alexander Gepperth
2021	B	`conf`	Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. IJCNN Benedikt Pfülb, Alexander Gepperth
2021	J	`jnl`	Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. CoRR Benedikt Pfülb, Alexander Gepperth
2020	—	`conf`	A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. ICANN (2) Alexander Gepperth, Benedikt Pfülb
2020	J	`jnl`	A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. CoRR Alexander Gepperth, Benedikt Pfülb
2020	B	`conf`	A Survey of Machine Learning applied to Computer Networks. ESANN Alexander Gepperth, Sebastian Rieger
2020	J	`jnl`	An energy-based SOM model not requiring periodic boundary conditions. Neural Comput. Appl. Alexander Gepperth
2020	J	`jnl`	Incremental learning with a homeostatic self-organizing neural model. Neural Comput. Appl. Alexander Gepperth
2020	—	`conf`	On Multi-modal Fusion for Freehand Gesture Recognition. ICANN (1) Monika Schak, Alexander Gepperth
2020	J	`jnl`	Predicting Network Flow Characteristics Using Deep Learning and Real-World Network Traffic. IEEE Trans. Netw. Serv. Manag. Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth
2020	C	`conf`	SASBO: Self-Adapting Safe Bayesian Optimization. ICMLA Stefano De Blasi, Alexander Gepperth
2019	—	`conf`	A Study of Deep Learning for Network Traffic Data Forecasting. ICANN (4) Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger
2019	J	`jnl`	A Study of Deep Learning for Network Traffic Data Forecasting. CoRR Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger
2019	—	`conf`	A Study on Catastrophic Forgetting in Deep LSTM Networks. ICANN (2) Monika Schak, Alexander Gepperth
2019	—	`conf`	A comprehensive, application-oriented study of catastrophic forgetting in DNNs. ICLR (Poster) Benedikt Pfülb, Alexander Gepperth
2019	J	`jnl`	A comprehensive, application-oriented study of catastrophic forgetting in DNNs. CoRR Benedikt Pfülb, Alexander Gepperth
2019	J	`jnl`	Catastrophic forgetting: still a problem for DNNs. CoRR Benedikt Pfülb, Alexander Gepperth, Saad Abdullah, André Kilian
2019	B	`conf`	Flow-based Throughput Prediction using Deep Learning and Real-World Network Traffic. CNSM Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth, Sven Reißmann
2019	J	`jnl`	Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces. CoRR Alexander Gepperth, Benedikt Pfülb
2019	—	`conf`	Marginal Replay vs Conditional Replay for Continual Learning. ICANN (2) Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat
2019	—	`conf`	Robustness of Deep LSTM Networks in Freehand Gesture Recognition. ICANN (3) Monika Schak, Alexander Gepperth
2019	—	`conf`	Simplified Computation and Interpretation of Fisher Matrices in Incremental Learning with Deep Neural Networks. ICANN (2) Alexander Gepperth, Florian Wiech
2018	—	`conf`	An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities. ICANN (2) Alexander Gepperth, Ayanava Sarkar, Thomas Kopinski
2018	—	`conf`	Catastrophic Forgetting: Still a Problem for DNNs. ICANN (1) Benedikt Pfülb, Alexander Gepperth, Saad Abdullah, André Kilian
2018	B	`conf`	Incremental learning with deep neural networks using a test-time oracle. ESANN Alexander Gepperth, Saad Abdullah Gondal
2018	J	`jnl`	Marginal Replay vs Conditional Replay for Continual Learning. CoRR Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat
2017	B	`conf`	A large-scale multi-pose 3D-RGB object database. IJCNN Fabian Sachara, Finn Handmann, Nico Cremer, Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2017	B	`conf`	Acceleration of Prototype Based Models with Cascade Computation. ESANN Cem Karaoguz, Alexander Gepperth
2017	—	`conf`	An energy-based SOM model not requiring periodic boundary conditions. WSOM Alexander Gepperth
2017	—	`conf`	Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM. IHCI Ayanava Sarkar, Alexander Gepperth, Uwe Handmann, Thomas Kopinski
2017	—	`conf`	Free-hand gesture recognition with 3D-CNNs for in-car infotainment control in real-time. ITSC Fabian Sachara, Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2017	—	`conf`	Incremental learning with self-organizing maps. WSOM Alexander Gepperth, Cem Karaoguz
2016	J	`jnl`	A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems. Cogn. Comput. Alexander Gepperth, Cem Karaoguz
2016	—	`conf`	A Deep Learning Approach for Hand Posture Recognition from Depth Data. ICANN (2) Thomas Kopinski, Fabian Sachara, Alexander Gepperth, Uwe Handmann
2016	—	`conf`	Computational Advantages of Deep Prototype-Based Learning. ICANN (2) Thomas Hecht, Alexander Gepperth
2016	B	`conf`	Incremental learning algorithms and applications. ESANN Alexander Gepperth, Barbara Hammer
2016	—	`conf`	Learning to be attractive: Probabilistic computation with dynamic attractor networks. ICDL-EPIROB Alexander Gepperth, Mathieu Lefort
2016	B	`conf`	Towards incremental deep learning: multi-level change detection in a hierarchical visual recognition architecture. ESANN Thomas Hecht, Alexander Gepperth
2015	—	`conf`	A Real-Time Applicable Dynamic Hand Gesture Recognition Framework. ITSC Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2015	—	`conf`	A generative-discriminative learning model for noisy information fusion. ICDL-EPIROB Thomas Hecht, Alexander Gepperth
2015	B	`conf`	A simple technique for improving multi-class classification with neural networks. ESANN Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2015	—	`conf`	Active learning of local predictable representations with artificial curiosity. ICDL-EPIROB Mathieu Lefort, Alexander Gepperth
2015	—	`conf`	Biologically inspired incremental learning for high-dimensional spaces. ICDL-EPIROB Alexander Gepperth, Thomas Hecht, Mathieu Lefort, Ursula Körner
2015	B	`conf`	Calibration-free match finding between vision and LIDAR. Intelligent Vehicles Symposium Egor Sattarov, Alexander Gepperth, Sergio Alberto Rodriguez F., Roger Reynaud
2015	B	`conf`	Learning of local predictable representations in partially learnable environments. IJCNN Mathieu Lefort, Alexander Gepperth
2015	B	`conf`	Resource-efficient Incremental learning in very high dimensions. ESANN Alexander Gepperth, Mathieu Lefort, Thomas Hecht
2015	B	`conf`	Using self-organizing maps for regression: the importance of the output function. ESANN Thomas Hecht, Mathieu Lefort, Alexander Gepperth
2014	B	`conf`	A multi-modal system for road detection and segmentation. Intelligent Vehicles Symposium Xiao Hu, Sergio Alberto Rodriguez F., Alexander Gepperth
2014	—	`conf`	A real-time applicable 3D gesture recognition system for automobile HMI. ITSC Thomas Kopinski, Stefan Geisler, Louis-Charles Caron, Alexander Gepperth, Uwe Handmann
2014	B	`conf`	Discrimination of visual pedestrians data by combining projection and prediction learning. ESANN Mathieu Lefort, Alexander Gepperth
2014	C	`conf`	Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies. ICANN Alexander Gepperth, Mathieu Lefort
2014	B	`conf`	Latency-based probabilistic information processing in a learning feedback hierarchy. IJCNN Alexander Gepperth
2014	—	`conf`	Multimodal space representation driven by self-evaluation of predictability. ICDL-EPIROB Mathieu Lefort, Thomas Kopinski, Alexander Gepperth
2014	—	`conf`	Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot. ECCV Workshops (3) Louis-Charles Caron, David Filliat, Alexander Gepperth
2014	B	`conf`	Neural network based 2D/3D fusion for robotic object recognition. ESANN Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth
2014	B	`conf`	PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination. IJCNN Mathieu Lefort, Alexander Gepperth
2014	J	`jnl`	Processing and Transmission of Confidence in Recurrent Neural Hierarchies. Neural Process. Lett. Alexander Gepperth
2014	—	`conf`	Robust visual pedestrian detection by tight coupling to tracking. ITSC Alexander Gepperth, Egor Sattarov, Bernd Heisele, Sergio Alberto Rodriguez Florez
2014	B	`conf`	Scene context is more than a Bayesian prior: Competitive vehicle detection with restricted detectors. Intelligent Vehicles Symposium Thomas Hecht, Mrinal Mohit, Egor Sattarov, Alexander Gepperth
2013	—	`conf`	A comparison of geometric and energy-based point cloud semantic segmentation methods. ECMR Mathieu Dubois, Paola K. Rozo, Alexander Gepperth, Fabio A. González, David Filliat
2013	—	`conf`	Real-time pedestrian detection and pose classification on a GPU. ITSC Alexander Gepperth, Michaël Garcia Ortiz, Bernd Heisele
2012	—	`conf`	RGBD object recognition and visual texture classification for indoor semantic mapping. TePRA David Filliat, Emmanuel Battesti, Stéphane Bazeille, Guillaume Duceux, Alexander Gepperth, Lotfi Harrath, Islem Jebari, Rafael Pereira, Adriana Tapus, Cedric Meyer, Sio-Hoi Ieng, Ryad Benosman, Eddy Cizeron, Jean-Charles Mamanna, Benoit Pothier
2012	—	`conf`	Simultaneous concept formation driven by predictability. ICDL-EPIROB Alexander Gepperth
2010	—	`conf`	System approach for multi-purpose representations of traffic scene elements. ITSC Jens Schmüdderich, Nils Einecke, Stephan Hasler, Alexander Gepperth, Bram Bolder, Robert Kastner, Mathias Franzius, Sven Rebhan, Benjamin Dittes, Heiko Wersing, Julian Eggert, Jannik Fritsch, Christian Goerick
2006	—	`conf`	Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks. ANNPR Alexander Gepperth
2006	B	`conf`	Visual object classification by sparse convolutional neural networks. ESANN Alexander Gepperth