Tomasz Kusmierczyk

35 papers A* 5A 3C 2Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference. CoRR Patryk Marszalek, Tomasz Kusmierczyk, Marek Smieja
2025	J	`jnl`	Efficient Uncertainty in LLMs through Evidential Knowledge Distillation. CoRR Lakshmana Sri Harsha Nemani, P. K. Srijith, Tomasz Kusmierczyk
2025	J	`jnl`	Hi-fi functional priors by learning activations. CoRR Marcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk
2025	A*	`conf`	Hypernetwork Approach to Bayesian MAML (Student Abstract). AAAI Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek
2025	—	`conf`	Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA. EMNLP (Findings) Patryk Marszalek, Klaudia Balazy, Jacek Tabor, Tomasz Kusmierczyk
2025	J	`jnl`	Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA. CoRR Patryk Marszalek, Klaudia Balazy, Jacek Tabor, Tomasz Kusmierczyk
2025	A	`conf`	Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations. UAI Marcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk
2025	J	`jnl`	ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data. CoRR Patryk Marszalek, Tomasz Kusmierczyk, Witold Wydmanski, Jacek Tabor, Marek Smieja
2024	J	`jnl`	High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations. CoRR Marcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk
2023	J	`jnl`	Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. J. Mach. Learn. Res. Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2022	J	`jnl`	Hypernetwork approach to Bayesian MAML. CoRR Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek
2021	C	`conf`	Uplift Modeling with High Class Imbalance. ACML Otto Nyberg, Tomasz Kusmierczyk, Arto Klami
2020	A*	`conf`	Correcting Predictions for Approximate Bayesian Inference. AAAI Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2020	J	`jnl`	Mixture of Discrete Normalizing Flows for Variational Inference. CoRR Tomasz Kusmierczyk, Arto Klami
2019	J	`jnl`	Correcting Predictions for Approximate Bayesian Inference. CoRR Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2019	J	`jnl`	Investigating and predicting online food recipe upload behavior. Inf. Process. Manag. Christoph Trattner, Tomasz Kusmierczyk, Kjetil Nørvåg
2019	J	`jnl`	Prior specification via prior predictive matching: Poisson matrix factorization and beyond. CoRR Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2019	A*	`conf`	Variational Bayesian Decision-making for Continuous Utilities. NeurIPS Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2019	J	`jnl`	Variational Bayesian Decision-making for Continuous Utilities. CoRR Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami
2018	A*	`conf`	On Validation and Predictability of Digital Badges' Influence on Individual Users. AAAI Tomasz Kusmierczyk, Kjetil Nørvåg
2018	A*	`conf`	On the Causal Effect of Badges. WWW Tomasz Kusmierczyk, Manuel Gomez-Rodriguez
2017	J	`jnl`	Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features. CoRR Tomasz Kusmierczyk, Kjetil Nørvåg
2017	J	`jnl`	Harnessing Natural Experiments to Quantify the Causal Effect of Badges. CoRR Tomasz Kusmierczyk, Manuel Gomez-Rodriguez
2016	J	`jnl`	Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis. Frontiers Comput. Neurosci. Grzegorz Bokota, Marta Magnowska, Tomasz Kusmierczyk, Michal Lukasik, Matylda Roszkowska, Dariusz Plewczynski
2016	J	`jnl`	FOODWEB - Studying Food Consumption and Production Patterns on the Web. ERCIM News Christoph Trattner, Tomasz Kusmierczyk, Kjetil Nørvåg
2016	A	`conf`	Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics. CIKM Tomasz Kusmierczyk, Kjetil Nørvåg
2016	A	`conf`	Plate and Prejudice: Gender Differences in Online Cooking. UMAP Markus Rokicki, Eelco Herder, Tomasz Kusmierczyk, Christoph Trattner
2016	—	`conf`	Understanding and Predicting Online Food Recipe Production Patterns. HT Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg
2015	—	`conf`	Mining Correlations on Massive Bursty Time Series Collections. DASFAA (1) Tomasz Kusmierczyk, Kjetil Nørvåg
2015	—	`conf`	Temporal Patterns in Online Food Innovation. WWW (Companion Volume) Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg
2015	—	`conf`	Temporality in Online Food Recipe Consumption and Production. WWW (Companion Volume) Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg
2013	C	`conf`	Application of Ant-Colony Optimisation to Compute Diversified Entity Summarisation on Semantic Knowledge Graphs. FedCSIS Witold Kosinski, Marcin Sydow, Tomasz Kusmierczyk, Pawel Rembelski
2013	—	`ch.`	Comparing Hierarchical Mathematical Document Clustering against the Mathematics Subject Classification Tree. Intelligent Tools for Building a Scientific Information Platform Tomasz Kusmierczyk, Michal Lukasik, Lukasz Bolikowski, Hung Son Nguyen
2013	—	`ch.`	Hierarchical, Multi-label Classification of Scholarly Publications: Modifications of ML-KNN Algorithm. Intelligent Tools for Building a Scientific Information Platform Michal Lukasik, Tomasz Kusmierczyk, Lukasz Bolikowski, Hung Son Nguyen
2013	—	`conf`	Towards a Keyword-Focused Web Crawler. IIS Tomasz Kusmierczyk, Marcin Sydow