Decebal Constantin Mocanu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
17
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. | Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu |
| 2024 | AISTATS | Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks. | Kaiting Liu, Zahra Atashgahi, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu |
| 2024 | BMVC | Are Sparse Neural Networks Better Hard Sample Learners? | Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu |
| 2024 | ECAI | Unveiling the Power of Sparse Neural Networks for Feature Selection. | Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar |
| 2024 | Interspeech | Dynamic Data Pruning for Automatic Speech Recognition. | Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu |
| 2023 | ICLR | More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. | Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Krkkinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang |
| 2022 | ICLR | Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. | Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu |
| 2022 | ICLR | The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. | Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy |
| 2022 | IJCAI | Dynamic Sparse Training for Deep Reinforcement Learning. | Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone |
| 2021 | ICML | Selfish Sparse RNN Training. | Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy |
| 2021 | ICML | Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. | Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy |
| 2020 | GECCO | Novelty producing synaptic plasticity. | Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy |
| 2020 | SMC | A Hybrid Framework Combining Vehicle System Knowledge with Machine Learning Methods for Improved Highway Trajectory Prediction. | Manuel Muoz Snchez, Emilia Silvas, Denis Pogosov, Decebal Constantin Mocanu |
| 2019 | GECCO | Learning with delayed synaptic plasticity. | Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy |
| 2018 | GECCO | Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. | Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy |
| 2016 | IJCAI | On the Synergy of Network Science and Artificial Intelligence. | Decebal Constantin Mocanu |
| 2016 | MOMM | A Regression Method for real-time video quality evaluation. | Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta |
| 2016 | SMC | Big IoT data mining for real-time energy disaggregation in buildings. | Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta |
| 2015 | ICDM | Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics. | Decebal Constantin Mocanu, Maria Torres Vega, Antonio Liotta |
| 2015 | IM | Reduced reference image quality assessment via Boltzmann Machines. | Decebal Constantin Mocanu, Georgios Exarchakos, Haitham Bou-Ammar, Antonio Liotta |
| 2015 | IM | Cognitive streaming on android devices. | Maria Torres Vega, Decebal Constantin Mocanu, Rosario Barresi, Giancarlo Fortino, Antonio Liotta |
| 2015 | MOMM | Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams. | Maria Torres Vega, Vittorio Sguazzo, Decebal Constantin Mocanu, Antonio Liotta |
| 2015 | QoMEX | Cognitive no-reference video quality assessment for mobile streaming services. | Maria Torres Vega, Emanuele Giordano, Decebal Constantin Mocanu, Dian Tjondronegoro, Antonio Liotta |
| 2014 | CNSM | Network performance assessment with Quality of experience benchmarks. | Decebal Constantin Mocanu, Giuliano Santandrea, Walter Cerroni, Franco Callegati, Antonio Liotta |
| 2014 | CNSM | End-to-end performance evaluation in high-speed wireless networks. | Maria Torres Vega, Shihuan Zou, Decebal Constantin Mocanu, Eduward Tangdiongga, Antonius M. J. Koonen, Antonio Liotta |
| 2014 | ICIP | Deep learning for objective quality assessment of 3D images. | Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta |
| 2014 | NOMS | When does lower bitrate give higher quality in modern video services? | Decebal Constantin Mocanu, Antonio Liotta, Arianna Ricci, Maria Torres Vega, Georgios Exarchakos |
| 2014 | SMC | Node centrality awareness via swarming effects. | Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta |
| 2014 | SMC | Inexpensive user tracking using Boltzmann Machines. | Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov |
| 2013 | ICA3PP | Predicting Battery Depletion of Neighboring Wireless Sensor Nodes. | Roshan Kotian, Georgios Exarchakos, Decebal Constantin Mocanu, Antonio Liotta |
| 2013 | MOMM | Instantaneous Video Quality Assessment for lightweight devices. | Antonio Liotta, Decebal Constantin Mocanu, Vlado Menkovski, Luciana Cagnetta, Georgios Exarchakos |