Krzysztof Janowicz — accepted AI-conference papers

2024

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations

Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao

ICML 2024poster

A wide range of (multivariate) temporal (1D) and spatial (2D) data analysis tasks, such as grouping vehicle sensor trajectories, can be formulated as clustering with given metric constraints. Existing metric-constrained clustering algorithms overlook the rich correlation between feature similarity a…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2020

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

ICLR 2020spotlight

Unsupervised text encoding models have recently fueled substantial progress in NLP. The key idea is to use neural networks to convert words in texts to vector space representations (embeddings) based on word positions in a sentence and their contexts, which are suitable for end-to-end training of do…

Cited by 146 Source ↗code ↗Scholar ↗