Adding Object Detection Skills to Visual Dialogue Agents. - Gabriele Bani; Davide Belli; Gautier Dagan; Alexander Geenen; Andrii Skliar; Aashish Venkatesh; Tim Baumgärtner; Elia Bruni; Raquel Fernández (ECCV Workshops (4), 2018)

Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. - Bert Moons; Parham Noorzad; Andrii Skliar; Giovanni Mariani; Dushyant Mehta; Chris Lott; Tijmen Blankevoort (ICCV, 2021)

Revisiting single-gated Mixtures of Experts. - Amelie Royer; Ilia Karmanov; Andrii Skliar; Babak Ehteshami Bejnordi; Tijmen Blankevoort (BMVC, 2022)

Simulated Quantization, Real Power Savings. - Mart van Baalen; Brian Kahne; Eric Mahurin; Andrey Kuzmin; Andrii Skliar; Markus Nagel; Tijmen Blankevoort (CVPR Workshops, 2022)

Simple and Efficient Architectures for Semantic Segmentation. - Dushyant Mehta; Andrii Skliar; Haitam Ben Yahia; Shubhankar Borse; Fatih Porikli; Amirhossein Habibian; Tijmen Blankevoort (CVPR Workshops, 2022)

Cyclical Pruning for Sparse Neural Networks. - Suraj Srinivas; Andrey Kuzmin; Markus Nagel; Mart van Baalen; Andrii Skliar; Tijmen Blankevoort (CVPR Workshops, 2022)

Hyperbolic Convolutional Neural Networks. - Andrii Skliar; Maurice Weiler (CoRR, 2023)

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. - Benjamin Bergner; Andrii Skliar; Amelie Royer; Tijmen Blankevoort; Yuki M. Asano; Babak Ehteshami Bejnordi (CoRR, 2024)

Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. - Marco Federici; Davide Belli; Mart van Baalen; Amir Jalalirad; Andrii Skliar; Bence Major; Markus Nagel; Paul N. Whatmough (CoRR, 2024)

Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. - Andrii Skliar; Ties van Rozendaal; Romain Lepert; Todor Boinovski; Mart van Baalen; Markus Nagel; Paul N. Whatmough; Babak Ehteshami Bejnordi (Trans. Mach. Learn. Res., 2025)