activity
20142023
most citedLearning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening

110 citations · 116 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 1 cited

Similarity-based Memory Enhanced Joint Entity and Relation Extraction

Witold Kosciukiewicz, Mateusz Wojcik, Tomasz Kajdanowicz +1

Document-level joint entity and relation extraction is a challenging information extraction problem that requires a unified approach where a single neural network performs four sub…

cs.CL2023★ 1 cited

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks

Mateusz Baran, Joanna Baran, Mateusz Wójcik +2

State-of-the-art models can perform well in controlled environments, but they often struggle when presented with out-of-distribution (OOD) examples, making OOD detection a critical…

cs.LG2023★ 2 cited

Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform

Mateusz Wójcik, Witold Kościukiewicz, Mateusz Baran +2

Production deployments in complex systems require ML architectures to be highly efficient and usable against multiple tasks. Particularly demanding are classification problems in w…

cs.LG2022★ 2 cited

Neural Architecture for Online Ensemble Continual Learning

Mateusz Wójcik, Witold Kościukiewicz, Tomasz Kajdanowicz +1

Continual learning with an increasing number of classes is a challenging task. The difficulty rises when each example is presented exactly once, which requires the model to learn o…

q-bio.QM2018

Towards fully automated protein structure elucidation with NMR spectroscopy

Piotr Klukowski, Adam Gonczarek

Nuclear magnetic resonance (NMR) spectroscopy is one of the leading techniques for protein studies. The method features a number of properties, allowing to explain macromolecular i…

stat.ML2016★ 110 cited

Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening

Adam Gonczarek, Jakub M. Tomczak, Szymon Zaręba +3

We introduce a deep learning architecture for structure-based virtual screening that generates fixed-sized fingerprints of proteins and small molecules by applying learnable atom c…

cs.LG2014

Subspace Restricted Boltzmann Machine

Jakub M. Tomczak, Adam Gonczarek

The subspace Restricted Boltzmann Machine (subspaceRBM) is a third-order Boltzmann machine where multiplicative interactions are between one visible and two hidden units. There are…