Decebal Constantin Mocanu
Orcid: 0000-0002-5636-7683
According to our database1,
Decebal Constantin Mocanu
authored at least 88 papers
between 2013 and 2024.
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Bibliography
2024
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration.
CoRR, 2024
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness.
CoRR, 2024
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity.
CoRR, 2024
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts.
CoRR, 2024
Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Neural Comput. Appl., August, 2023
Trans. Mach. Learn. Res., 2023
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation.
CoRR, 2023
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.
Mach. Learn., 2022
Mach. Learn., 2022
CoRR, 2022
CoRR, 2022
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training.
CoRR, 2022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Neural Comput. Appl., 2021
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware.
Neural Comput. Appl., 2021
Evol. Comput., 2021
CoRR, 2021
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring.
CoRR, 2020
A Hybrid Framework Combining Vehicle System Knowledge with Machine Learning Methods for Improved Highway Trajectory Prediction.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
IEEE Trans. Smart Grid, 2019
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance.
Inf. Fusion, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
Proceedings of the 30th International Teletraffic Congress, 2018
Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
2017
IEEE Signal Process. Lett., 2017
Signal Process. Image Commun., 2017
Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.
Pattern Recognit., 2017
Multim. Tools Appl., 2017
Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective.
CoRR, 2017
Proceedings of the 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2017
2016
Int. J. Pervasive Comput. Commun., 2016
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data.
CoRR, 2016
Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment.
Proceedings of the Fourth International IEEE Workshop on Quality of Experience Centric Management, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, 2016
Proceedings of the First IEEE International Conference on Internet-of-Things Design and Implementation, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
Factored four way conditional restricted Boltzmann machines for activity recognition.
Pattern Recognit. Lett., 2015
J. Electronic Imaging, 2015
Proceedings of the Seventh International Workshop on Quality of Multimedia Experience, 2015
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, 2015
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 10th International Conference on Network and Service Management, 2014
Proceedings of the 10th International Conference on Network and Service Management, 2014
2013
Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia, 2013
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013