Lukasz Struski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
12
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | EPIC: Explanation of Pretrained Image Classification Networks via Prototypes. | Piotr Borycki, Magdalena Tredowicz, Szymon Janusz, Jacek Tabor, Przemyslaw Spurek, Arkadiusz Lewicki, Lukasz Struski |
| 2025 | CIKM | Tight Bounds for Jensen's Gap with Applications to Variational Inference. | Marcin Mazur, Tadeusz Dziarmaga, Piotr Koscielniak, Lukasz Struski |
| 2025 | ECAI | PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. | Magdalena Tredowicz, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor, Lukasz Struski |
| 2025 | ICML | SEMU: Singular Value Decomposition for Efficient Machine Unlearning. | Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Damian Rymarczyk |
| 2025 | ICML | LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. | Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor |
| 2024 | AAAI | Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. | Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2023 | AISTATS | Bounding Evidence and Estimating Log-Likelihood in VAE. | Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor |
| 2023 | DSAA | ProPML: Probability Partial Multi-label Learning. | Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski |
| 2023 | ECAI | ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. | Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski |
| 2023 | ICCS | r-softmax: Generalized Softmax with Controllable Sparsity Rate. | Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor |
| 2023 | WACV | ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. | Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2023 | WACV | SONGs: Self-Organizing Neural Graphs. | Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski |
| 2022 | ECCV | Interpretable Image Classification with Differentiable Prototypes Assignment. | Dawid Rymarczyk, Lukasz Struski, Michal Grszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski |
| 2022 | IROS | HyperPocket: Generative Point Cloud Completion. | Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski |
| 2022 | WACV | MisConv: Convolutional Neural Networks for Missing Data. | Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor |
| 2021 | ICONIP | Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. | Marcin Sendera, Lukasz Struski, Przemyslaw Spurek |
| 2021 | KDD | ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. | Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2020 | ICONIP | Processing of Incomplete Images by (Graph) Convolutional Neural Networks. | Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka |
| 2020 | ICONIP | Spatial Graph Convolutional Networks. | Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka |
| 2020 | ICONIP | Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. | Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski |
| 2020 | ICONIP | Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. | Marek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mrio A. T. Figueiredo |
| 2019 | ICONIP | Set Aggregation Network as a Trainable Pooling Layer. | Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek |