Andrii Skliar - RankMe

16 papers A* 1A 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. MLSys Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough
2025	J	`jnl`	Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. Trans. Mach. Learn. Res. Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi
2024	J	`jnl`	Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. CoRR Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough
2024	J	`jnl`	Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. CoRR Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi
2024	J	`jnl`	Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. CoRR Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi
2023	J	`jnl`	Hyperbolic Convolutional Neural Networks. CoRR Andrii Skliar, Maurice Weiler
2023	J	`jnl`	Revisiting Single-gated Mixtures of Experts. CoRR Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort
2022	—	`conf`	Cyclical Pruning for Sparse Neural Networks. CVPR Workshops Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
2022	J	`jnl`	Cyclical Pruning for Sparse Neural Networks. CoRR Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort
2022	A	`conf`	Revisiting single-gated Mixtures of Experts. BMVC Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort
2022	—	`conf`	Simple and Efficient Architectures for Semantic Segmentation. CVPR Workshops Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort
2022	J	`jnl`	Simple and Efficient Architectures for Semantic Segmentation. CoRR Dushyant Mehta, Andrii Skliar, Haitam Ben Yahia, Shubhankar Borse, Fatih Porikli, Amirhossein Habibian, Tijmen Blankevoort
2022	—	`conf`	Simulated Quantization, Real Power Savings. CVPR Workshops Mart van Baalen, Brian Kahne, Eric Mahurin, Andrey Kuzmin, Andrii Skliar, Markus Nagel, Tijmen Blankevoort
2021	A*	`conf`	Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. ICCV Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
2020	J	`jnl`	Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. CoRR Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
2018	—	`conf`	Adding Object Detection Skills to Visual Dialogue Agents. ECCV Workshops (4) Gabriele Bani, Davide Belli, Gautier Dagan, Alexander Geenen, Andrii Skliar, Aashish Venkatesh, Tim Baumgärtner, Elia Bruni, Raquel Fernández