Tomasz Kuśmierczyk: About me

Hi! My name is Tomasz. I am a computer scientist interested in applied machine learning. Currently, I am working on a project focused on Balancing priors and learning biases to improve Bayesian Neural Networks.

Contact

e-mail: tomasz [dot] kusmierczyk [at] gmail.com

My Curriculum Vitae

Media

GitHub
LinkedIn
Scholar
DBLP

Current Project
ResearchGate
News (Twitter)

Publications

E. de Souza da Silva, T. Kuśmierczyk, M. Hartmann, A. Klami: Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. JMLR 2023. ONLINE arXiv CODE
T. Kuśmierczyk, A. Klami: Reliable Categorical Variational Inferencewith Mixture of Discrete Normalizing Flows. arXiv CODE SLIDES
O. Nyberg, T. Kuśmierczyk, A. Klami: Uplift Modeling with High Class Imbalance. ACML 2021. VIDEO
T. Kuśmierczyk, J. Sakaya, A. Klami: Correcting Predictions for Approximate Bayesian Inference. AAAI 2020. (CORE rank: A*) arXiv CODE POSTER
T. Kuśmierczyk, J. Sakaya, A. Klami: Variational Bayesian Decision-making for Continuous Utilities. NeurIPS 2019. (CORE rank: A*) CODE arXiv SLIDES POSTER
C. Trattner, T. Kuśmierczyk, K. Nørvåg: Investigating and Predicting Online Food Recipe Upload Behavior. Information Processing & Management. (IF: 3.4) PDF
T. Kuśmierczyk, M. Gomez-Rodriguez: On the Causal Effect of Badges. WWW 2018. (CORE rank: A*) CODE arXiv SLIDES
T. Kuśmierczyk, K. Nørvåg: On Validation and Predictability of Digital Badges' Influence on Individual Users. AAAI 2018. (CORE rank: A*) CODE arXiv POSTER
T. Kuśmierczyk, K. Nørvåg: Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics. CIKM 2016. (CORE rank: A) CODE PDF POSTER
T. Kuśmierczyk, C. Trattner, K. Nørvåg: Understanding and Predicting Online Food Recipe Production Patterns. Hypertext 2016. (CORE rank: A) PDF SLIDES
G. Bokota, M. Magnowska, T. Kuśmierczyk, M. Lukasik, et al.: Computational approach to dendritic spine taxonomy and shape transition analysis. Frontiers in Computational Neuroscience, 2016. (IF:2.3) ONLINE CODE
M. Rokicki, E. Herder, T. Kuśmierczyk, C. Trattner: Plate and Prejudice: Gender Differences in Online Cooking. UMAP 2016. (CORE rank: B) PDF
T. Kuśmierczyk, K. Nørvåg: Mining Correlations on Massive Bursty Time Series Collections. DASFAA 2015. (CORE rank: B) CODE PDF SLIDES
T. Kuśmierczyk, C. Trattner, K. Nørvåg: Temporality in Online Food Recipe Consumption and Production. WWW 2015. (CORE rank: A*) PDF POSTER
T. Kuśmierczyk, C. Trattner, K. Nørvåg: Temporal Patterns in Online Food Innovation. TempWeb 2015 (WWW Proceedings). PDF SLIDES
W. Kosinski, M. Sydow, T. Kuśmierczyk, P. Rembelski: Application of Ant-Colony Optimisation to Compute Diversified Entity Summarisation on Semantic Knowledge Graphs. FedCSIS 2013: 69-76.
T. Kuśmierczyk, M. Sydow: Towards a Keyword-Focused Web Crawler. IIS 2013: 187-197.
T. Kuśmierczyk, M. Lukasik, L. Bolikowski, H. Son Nguyen: Comparing Hierarchical Mathematical Document Clustering against the Mathematics Subject Classification Tree. Intelligent Tools for Building a Scientific Information Platform 2013: 365-392.
M. Lukasik, T. Kuśmierczyk, L. Bolikowski, H. Son Nguyen: Hierarchical, Multi-label Classification of Scholarly Publications: Modifications of ML-KNN Algorithm. Intelligent Tools for Building a Scientific Information Platform 2013: 343-363.

Tomasz Kuśmierczyk: About me

Contact

My Curriculum Vitae

Media

Publications

Presentations

Priors for BNNs

Overconfidence and subnetwork Inference for BNNs

Introduction to modern Variational Inference

Mixture of Discrete Normalizing Flows for Variational Inference

Loss-calibrated Variational Inference

Variational inference using implicit distributions

On the Causal Effect of Digital Badges (WWW2018)

What are the negative effects of social media?: fighting fake information (Defense Trial Lecture)

Sampling and Markov Chain Monte Carlo Techniques (Self-study course)

Probabilistic Models in Recommender Systems: Time Variant Models (Self-study course)

Temporal Patterns in Online Food Innovation (TempWeb2015)

Mining Correlations on Massive Bursty Time Series Collection (DASFAA2015)