Tomasz Kuśmierczyk: About me

Hi! My name is Tomasz. I am a computer scientist interested in applied machine learning. I look for opportunities to work on interesting projects that would help improving my skills and qualifications.

Contact

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

My Curriculum Vitae

Media

GitHub
LinkedIn
Scholar
DBLP

ResearchGate
News (Twitter)
Blog (Misc)

Publications

T. Kuśmierczyk, A. Klami: Reliable Categorical Variational Inferencewith Mixture of Discrete Normalizing Flows. arXiv CODE SLIDES
E. de Souza da Silva, T. Kuśmierczyk (equal contribution), M. Hartmann, A. Klami: Prior specification via prior predictive matching: Poisson matrix factorization and beyond. arXiv CODE
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

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)