High-efficiency logarithmic number unit design based on an improved cotransformation scheme. - Youri Popoff; Florian Scheidegger; Michael Schaffner; Michael Gautschi; Frank K. Gürkaynak; Luca Benini (DATE, 2016)

Impact of temporal subsampling on accuracy and performance in practical video classification. - Florian Scheidegger; Lukas Cavigelli; Michael Schaffner; A. Cristiano I. Malossi; Constantine Bekas; Luca Benini (EUSIPCO, 2017)

Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. - Manuel Eggimann; Christelle Gloor; Florian Scheidegger; Lukas Cavigelli; Michael Schaffner; Aljosa Smolic; Luca Benini (ISCAS, 2018)

High-Performance GPU Implementation of PageRank with Reduced Precision Based on Mantissa Segmentation. - Thomas Grützmacher; Hartwig Anzt; Florian Scheidegger; Enrique S. Quintana-Ortí (IA3@SC, 2018)

BAGAN: Data Augmentation with Balancing GAN. - Giovanni Mariani; Florian Scheidegger; Roxana Istrate; Costas Bekas; A. Cristiano I. Malossi (CoRR, 2018)

Towards Edge-Aware Spatio-Temporal Filtering in Real-Time. - Michael Schaffner; Florian Scheidegger; Lukas Cavigelli; Hubert Kaeslin; Luca Benini; Aljosa Smolic (IEEE Trans. Image Process., 2018)

TAPAS: Train-Less Accuracy Predictor for Architecture Search. - Roxana Istrate; Florian Scheidegger; Giovanni Mariani; Dimitrios S. Nikolopoulos; Constantine Bekas; Adelmo Cristiano Innocenza Malossi (AAAI, 2019)

Constrained deep neural network architecture search for IoT devices accounting for hardware calibration. - Florian Scheidegger; Luca Benini; Costas Bekas; A. Cristiano I. Malossi (NeurIPS, 2019)

NeuNetS: An Automated Synthesis Engine for Neural Network Design. - Atin Sood; Benjamin Elder; Benjamin Herta; Chao Xue; Costas Bekas; A. Cristiano I. Malossi; Debashish Saha; Florian Scheidegger; Ganesh Venkataraman; Gegi Thomas; Giovanni Mariani; Hendrik Strobelt; et al. (CoRR, 2019)

FloatX: A C++ Library for Customized Floating-Point Arithmetic. - Goran Flegar; Florian Scheidegger; Vedran Novakovic; Giovanni Mariani; Andrés E. Tomás; A. Cristiano I. Malossi; Enrique S. Quintana-Ortí (ACM Trans. Math. Softw., 2019)

XwattPilot: A Full-stack Cloud System Enabling Agile Development of Transprecision Software for Low-power SoCs. - Dionysios Diamantopoulos; Florian Scheidegger; Stefan Mach; Fabian Schuiki; Germain Haugou; Michael Schaffner; Frank K. Gürkaynak; Christoph Hagleitner; A. Cristiano I. Malossi; Luca Benini (COOL CHIPS, 2020)

Generating Efficient DNN-Ensembles with Evolutionary Computation. - Marc Ortiz; Florian Scheidegger; Marc Casas; A. Cristiano I. Malossi; Eduard Ayguadé (CoRR, 2020)

torcpy: Supporting task parallelism in Python. - Panagiotis E. Hadjidoukas; Andrea Bartezzaghi; Florian Scheidegger; Roxana Istrate; Costas Bekas; A. Cristiano I. Malossi (SoftwareX, 2020)

The concept of transprecision computing. - Florian Scheidegger (Hartung-Gorre Verlag, 2020)

Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy. - Florian Scheidegger; Roxana Istrate; Giovanni Mariani; Luca Benini; Costas Bekas; A. Cristiano I. Malossi (Vis. Comput., 2021)

Counterfactual Image Generation for adversarially robust and interpretable Classifiers. - Rafael Bischof; Florian Scheidegger; Michael A. Kraus; A. Cristiano I. Malossi (CoRR, 2023)

Beyond Static and Dynamic Quantization - Hybrid Quantization of Vision Transformers. - Piotr Kluska; Florian Scheidegger; A. Cristiano I. Malossi; Enrique S. Quintana-Ortí (BMVC, 2024)

QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers. - Piotr Kluska; Adrián Castelló 001; Florian Scheidegger; A. Cristiano I. Malossi; Enrique S. Quintana-Ortí (CVPR Workshops, 2024)

Probabilistic Feature Matching for Fast Scalable Visual Prompting. - Thomas Frick; Cezary Skura; Filip Janicki; Roy Assaf; Niccolò Avogaro; Daniel Caraballo; Yagmur Gizem Cinar; Brown Ebouky; Ioana Giurgiu; Takayuki Katsuki; Piotr Kluska; Cristiano Malossi; et al. (IJCAI, 2024)

MAEDAY: MAE for few- and zero-shot AnomalY-Detection. - Eli Schwartz; Assaf Arbelle; Leonid Karlinsky; Sivan Harary; Florian Scheidegger; Sivan Doveh; Raja Giryes (Comput. Vis. Image Underst., 2024)

VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation. - Niccolò Avogaro; Thomas Frick; Yagmur Gizem Cinar; Daniel Caraballo; Cezary Skura; Filip Janicki; Piotr Kluska; Brown Ebouky; Nicola Farronato; Florian Scheidegger; Cristiano Malossi; Konrad Schindler; et al. (CoRR, 2025)

Q-SAM2: Accurate Quantization for Segment Anything Model 2. - Nicola Farronato; Florian Scheidegger; Mattia Rigotti; Cristiano Malossi; Michele Magno; Haotong Qin (CoRR, 2025)