Application of Ant-Colony Optimisation to Compute Diversified Entity Summarisation on Semantic Knowledge Graphs. - Witold Kosinski; Marcin Sydow; Tomasz Kusmierczyk; Pawel Rembelski (FedCSIS, 2013)

Towards a Keyword-Focused Web Crawler. - Tomasz Kusmierczyk; Marcin Sydow (IIS, 2013)

Comparing Hierarchical Mathematical Document Clustering against the Mathematics Subject Classification Tree. - Tomasz Kusmierczyk; Michal Lukasik; Lukasz Bolikowski; Hung Son Nguyen (Intelligent Tools for Building a Scientific Information Platform, 2013)

Hierarchical, Multi-label Classification of Scholarly Publications: Modifications of ML-KNN Algorithm. - Michal Lukasik; Tomasz Kusmierczyk; Lukasz Bolikowski; Hung Son Nguyen (Intelligent Tools for Building a Scientific Information Platform, 2013)

Mining Correlations on Massive Bursty Time Series Collections. - Tomasz Kusmierczyk; Kjetil Nørvåg (DASFAA (1), 2015)

Temporality in Online Food Recipe Consumption and Production. - Tomasz Kusmierczyk; Christoph Trattner; Kjetil Nørvåg (WWW (Companion Volume), 2015)

Temporal Patterns in Online Food Innovation. - Tomasz Kusmierczyk; Christoph Trattner; Kjetil Nørvåg (WWW (Companion Volume), 2015)

Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics. - Tomasz Kusmierczyk; Kjetil Nørvåg (CIKM, 2016)

Understanding and Predicting Online Food Recipe Production Patterns. - Tomasz Kusmierczyk; Christoph Trattner; Kjetil Nørvåg (HT, 2016)

Plate and Prejudice: Gender Differences in Online Cooking. - Markus Rokicki; Eelco Herder; Tomasz Kusmierczyk; Christoph Trattner (UMAP, 2016)

FOODWEB - Studying Food Consumption and Production Patterns on the Web. - Christoph Trattner; Tomasz Kusmierczyk; Kjetil Nørvåg (ERCIM News, 2016)

Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis. - Grzegorz Bokota; Marta Magnowska; Tomasz Kusmierczyk; Michal Lukasik; Matylda Roszkowska; Dariusz Plewczynski (Frontiers Comput. Neurosci., 2016)

Harnessing Natural Experiments to Quantify the Causal Effect of Badges. - Tomasz Kusmierczyk; Manuel Gomez-Rodriguez (CoRR, 2017)

Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features. - Tomasz Kusmierczyk; Kjetil Nørvåg (CoRR, 2017)

On Validation and Predictability of Digital Badges' Influence on Individual Users. - Tomasz Kusmierczyk; Kjetil Nørvåg (AAAI, 2018)

On the Causal Effect of Badges. - Tomasz Kusmierczyk; Manuel Gomez-Rodriguez (WWW, 2018)

Variational Bayesian Decision-making for Continuous Utilities. - Tomasz Kusmierczyk; Joseph Sakaya; Arto Klami (NeurIPS, 2019)

Prior specification via prior predictive matching: Poisson matrix factorization and beyond. - Eliezer de Souza da Silva; Tomasz Kusmierczyk; Marcelo Hartmann; Arto Klami (CoRR, 2019)

Investigating and predicting online food recipe upload behavior. - Christoph Trattner; Tomasz Kusmierczyk; Kjetil Nørvåg (Inf. Process. Manag., 2019)

Correcting Predictions for Approximate Bayesian Inference. - Tomasz Kusmierczyk; Joseph Sakaya; Arto Klami (AAAI, 2020)

Mixture of Discrete Normalizing Flows for Variational Inference. - Tomasz Kusmierczyk; Arto Klami (CoRR, 2020)

Uplift Modeling with High Class Imbalance. - Otto Nyberg; Tomasz Kusmierczyk; Arto Klami (ACML, 2021)

Hypernetwork approach to Bayesian MAML. - Piotr Borycki; Piotr Kubacki; Marcin Przewiezlikowski; Tomasz Kusmierczyk; Jacek Tabor; Przemyslaw Spurek (CoRR, 2022)

Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. - Eliezer de Souza da Silva; Tomasz Kusmierczyk; Marcelo Hartmann; Arto Klami (J. Mach. Learn. Res., 2023)

High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations. - Marcin Sendera; Amin Sorkhei; Tomasz Kusmierczyk (CoRR, 2024)

Hypernetwork Approach to Bayesian MAML (Student Abstract). - Piotr Borycki; Piotr Kubacki; Marcin Przewiezlikowski; Tomasz Kusmierczyk; Jacek Tabor; Przemyslaw Spurek (AAAI, 2025)

Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations. - Marcin Sendera; Amin Sorkhei; Tomasz Kusmierczyk (UAI, 2025)

Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA. - Patryk Marszalek; Klaudia Balazy; Jacek Tabor; Tomasz Kusmierczyk (CoRR, 2025)

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

Efficient Uncertainty in LLMs through Evidential Knowledge Distillation. - Lakshmana Sri Harsha Nemani; P. K. Srijith; Tomasz Kusmierczyk (CoRR, 2025)

Hi-fi functional priors by learning activations. - Marcin Sendera; Amin Sorkhei; Tomasz Kusmierczyk (CoRR, 2025)