Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning. - Witold Wydmanski; Szymon Szott (WCNC, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. - Witold Wydmanski; Oleksii Bulenok; Marek Smieja (DSAA, 2023)

Machine Unlearning for Recommendation Systems: An Insight. - Bhavika Sachdeva; Harshita Rathee; Sristi; Arun Sharma; Witold Wydmanski (CoRR, 2024)

VisTabNet: Adapting Vision Transformers for Tabular Data. - Witold Wydmanski; Ulvi Movsum-zada; Jacek Tabor; Marek Smieja (SDM, 2025)

GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation. - Witold Wydmanski; Marek Smieja (CoRR, 2025)

ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data. - Patryk Marszalek; Tomasz Kusmierczyk; Witold Wydmanski; Jacek Tabor; Marek Smieja (CoRR, 2025)