| Distilling optimal neural networks: Rapid search in diverse spaces B Moons, P Noorzad, A Skliar, G Mariani, D Mehta, C Lott, T Blankevoort Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 63 | 2021 |
| Simple and efficient architectures for semantic segmentation D Mehta, A Skliar, H Ben Yahia, S Borse, F Porikli, A Habibian, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
| Simulated quantization, real power savings M van Baalen, B Kahne, E Mahurin, A Kuzmin, A Skliar, M Nagel, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 24 | 2022 |
| Cyclical pruning for sparse neural networks S Srinivas, A Kuzmin, M Nagel, M van Baalen, A Skliar, T Blankevoort Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 22 | 2022 |
| Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding B Bergner, A Skliar, A Royer, T Blankevoort, Y Asano, BE Bejnordi Workshop on Efficient Systems for Foundation Models II @ ICML2024, 2024 | 19 | 2024 |
| Revisiting single-gated mixtures of experts A Royer, I Karmanov, A Skliar, BE Bejnordi, T Blankevoort arXiv preprint arXiv:2304.05497, 2023 | 11 | 2023 |
| Mixture of cache-conditional experts for efficient mobile device inference A Skliar, T van Rozendaal, R Lepert, T Boinovski, M Van Baalen, M Nagel, ... arXiv preprint arXiv:2412.00099, 2024 | 9 | 2024 |
| Efficient llm inference using dynamic input pruning and cache-aware masking M Federici, D Belli, M Van Baalen, A Jalalirad, A Skliar, B Major, M Nagel, ... Proceedings of Machine Learning and Systems 7, 2025 | 6 | 2025 |
| Hyperbolic convolutional neural networks A Skliar, M Weiler arXiv preprint arXiv:2308.15639, 2023 | 6 | 2023 |
| Adding object detection skills to visual dialogue agents G Bani, D Belli, G Dagan, A Geenen, A Skliar, A Venkatesh, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 4 | 2018 |
| Machine learning model architecture combining mixture of experts and model ensembling AME ROYER, I KARMANOV, A SKLIAR, BE Bejnordi, ... US Patent App. 18/154,429, 2023 | 2 | 2023 |
| Neural Network Pruning With Cyclical Sparsity S SRINIVAS, TPF BLANKEVOORT, A Kuzmin, M Nagel, ... US Patent App. 17/456,318, 2022 | 2 | 2022 |
| Method For Automatically Designing Efficient Hardware-Aware Neural Networks For Visual Recognition Using Knowledge Distillation B MOONS, P Noorzad, A SKLIAR, C Lott, TPF BLANKEVOORT US Patent App. 17/455,201, 2022 | 2 | 2022 |
| Efficient decoding using large and small generative artificial intelligence models B BERGNER, A SKLIAR, BE Bejnordi, YM ASANO, TPF BLANKEVOORT, ... US Patent App. 18/486,653, 2025 | 1 | 2025 |
| Simulated low bit-width quantization using bit shifted neural network parameters MW VAN BAALEN, B KAHNE, EW Mahurin, TPF BLANKEVOORT, ... US Patent 12,499,345, 2025 | | 2025 |
| Multi-branch machine learning models for multi-domain and multi-task processing A SKLIAR, BE Bejnordi, AME ROYER, TPF BLANKEVOORT, D MEHTA US Patent App. 18/468,481, 2025 | | 2025 |
| Qualcomm-AI-research/dynamic-sparsity-1.0 M Federici, D Belli, M van Baalen, A Jalalirad, A Skliar, B Major, M Nagel, ... Zenodo, 0 | | |
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