Decebal Constantin Mocanu

Orcid: 0000-0002-5636-7683

According to our database1, Decebal Constantin Mocanu authored at least 81 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts.
CoRR, 2024

2023
Hu-bot: promoting the cooperation between humans and mobile robots.
Neural Comput. Appl., August, 2023

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks.
Trans. Mach. Learn. Res., 2023

MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
CoRR, 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

Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers.
CoRR, 2023

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
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
Situation-Aware Drivable Space Estimation for Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.
Mach. Learn., 2022

A brain-inspired algorithm for training highly sparse neural networks.
Mach. Learn., 2022

Memory-free Online Change-point Detection: A Novel Neural Network Approach.
CoRR, 2022

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
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

Dynamic Sparse Network for Time Series Classification: Learning What to "See".
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Where to Pay Attention in Sparse Training for Feature Selection?
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

Dynamic Sparse Training for Deep Reinforcement Learning.
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
Efficient and effective training of sparse recurrent neural networks.
Neural Comput. Appl., 2021

Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware.
Neural Comput. Appl., 2021

SpaceNet: Make Free Space for Continual Learning.
Neurocomputing, 2021

Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions.
Evol. Comput., 2021

Addressing the Stability-Plasticity Dilemma via Knowledge-Aware Continual Learning.
CoRR, 2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.
CoRR, 2021

Truly Sparse Neural Networks at Scale.
CoRR, 2021

Learning Invariant Representation for Continual Learning.
CoRR, 2021

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.
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

Selfish Sparse RNN Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Self-Attention Meta-Learner for Continual Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Sparse Training Theory for Scalable and Efficient Agents.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Topological Insights in Sparse Neural Networks.
CoRR, 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

Topological Insights into Sparse Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Novelty producing synaptic plasticity.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
On-Line Building Energy Optimization Using Deep Reinforcement Learning.
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

On improving deep learning generalization with adaptive sparse connectivity.
CoRR, 2019

Evolving and Understanding Sparse Deep Neural Networks using Cosine Similarity.
CoRR, 2019

Intrinsically Sparse Long Short-Term Memory Networks.
CoRR, 2019

Learning with delayed synaptic plasticity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Synopsis of the PhD Thesis - Network Computations in Artificial Intelligence.
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
Deep Learning for Quality Assessment in Live Video Streaming.
IEEE Signal Process. Lett., 2017

Predictive no-reference assessment of video quality.
Signal Process. Image Commun., 2017

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.
Pattern Recognit., 2017

Unsupervised deep learning for real-time assessment of video streaming services.
Multim. Tools Appl., 2017

Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective.
CoRR, 2017

Effect of lossy networks on stereoscopic 3D-video streams.
Proceedings of the 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2017

2016
A topological insight into restricted Boltzmann machines.
Mach. Learn., 2016

An experimental survey of no-reference video quality assessment methods.
Int. J. Pervasive Comput. Commun., 2016

Predictive No-Reference Assessment of Video Quality.
CoRR, 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

Big IoT data mining for real-time energy disaggregation in buildings.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Regression Method for real-time video quality evaluation.
Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, 2016

Predictive Power Control in Wireless Sensor Networks.
Proceedings of the First IEEE International Conference on Internet-of-Things Design and Implementation, 2016

On the Synergy of Network Science and Artificial Intelligence.
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

No-reference video quality measurement: added value of machine learning.
J. Electronic Imaging, 2015

Cognitive no-reference video quality assessment for mobile streaming services.
Proceedings of the Seventh International Workshop on Quality of Multimedia Experience, 2015

Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams.
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, 2015

Cognitive streaming on android devices.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Reduced reference image quality assessment via Boltzmann Machines.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Inexpensive user tracking using Boltzmann Machines.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Node centrality awareness via swarming effects.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

When does lower bitrate give higher quality in modern video services?
Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014

Deep learning for objective quality assessment of 3D images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

End-to-end performance evaluation in high-speed wireless networks.
Proceedings of the 10th International Conference on Network and Service Management, 2014

Network performance assessment with Quality of experience benchmarks.
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

Instantaneous Video Quality Assessment for lightweight devices.
Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia, 2013

Predicting Battery Depletion of Neighboring Wireless Sensor Nodes.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013


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