:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Moska, Julia, Furman, Oleksii, Kozaczko, Kacper, Leszkiewicz, Szymon, Polczyk, Jakub, Gramacki, Piotr, Szymański, Piotr
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.05879
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis
by: Martins, Bruno, et al.
Published: (2025)

Evaluation of Code LLMs on Geospatial Code Generation
by: Gramacki, Piotr, et al.
Published: (2024)

CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
by: Furman, Oleksii, et al.
Published: (2026)

V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy Prediction
by: Kostrzewa, Marcin, et al.
Published: (2026)

Structure over Pixels: Learning Variable-Length Visual Programs
by: Wyrwiński, Piotr, et al.
Published: (2026)

Are Foundation Models Useful for Bankruptcy Prediction?
by: Kostrzewa, Marcin, et al.
Published: (2025)

Scikit-fingerprints: easy and efficient computation of molecular fingerprints in Python
by: Adamczyk, Jakub, et al.
Published: (2024)

Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
by: Wielopolski, Patryk, et al.
Published: (2024)

Molecular Fingerprints Are Strong Models for Peptide Function Prediction
by: Adamczyk, Jakub, et al.
Published: (2025)

Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound
by: Byra, Michal, et al.
Published: (2024)

Inducing spectral gaps for the cohomological Laplacians of $\operatorname{Sp}_{2n}(\mathbb{Z})$
by: Mizerka, Piotr, et al.
Published: (2025)

DiCoFlex: Model-agnostic diverse counterfactuals with flexible control
by: Furman, Oleksii, et al.
Published: (2025)

Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
by: Furman, Oleksii, et al.
Published: (2024)

Representation learning in multiplex graphs: Where and how to fuse information?
by: Bielak, Piotr, et al.
Published: (2024)

Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
by: Hościłowicz, Jakub, et al.
Published: (2023)

Interpretable Representations in Explainable AI: From Theory to Practice
by: Sokol, Kacper, et al.
Published: (2020)

Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural Networks
by: Migus, Piotr
Published: (2025)

Features-based embedding or Feature-grounding
by: Makarevich, Piotr
Published: (2025)

Minimum Description Length and Generalization Guarantees for Representation Learning
by: Sefidgaran, Milad, et al.
Published: (2024)

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies
by: Piękos, Piotr, et al.
Published: (2025)

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
by: Sefidgaran, Milad, et al.
Published: (2025)

APEX: Audio Prototype EXplanations for Classification Tasks
by: Kawa, Piotr, et al.
Published: (2026)

HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
by: Marszałek, Patryk, et al.
Published: (2025)

CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer
by: Wilam, Piotr
Published: (2026)

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
by: Sefidgaran, Milad, et al.
Published: (2025)

How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
by: Zyblewski, Paweł, et al.
Published: (2025)

MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
by: Pióro, Maciej, et al.
Published: (2024)

Reconstruction of muon bundles in KM3NeT detectors using machine learning methods
by: Kalaczyński, Piotr
Published: (2025)

Contrastive Representations for Temporal Reasoning
by: Ziarko, Alicja, et al.
Published: (2025)

Clustering-based hard negative sampling for supervised contrastive speaker verification
by: Masztalski, Piotr, et al.
Published: (2025)

Rethinking the Evaluation of Alignment Methods: Insights into Diversity, Generalisation, and Safety
by: Janiak, Denis, et al.
Published: (2025)

Entropic covariance models
by: Zwiernik, Piotr
Published: (2023)

Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning
by: Praski, Mateusz, et al.
Published: (2025)

Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery
by: Olko, Mateusz, et al.
Published: (2025)

OGLE-BLAP-001 and ZGP-BLAP-08: two possible magnetic blue large-amplitude pulsators
by: Pigulski, Andrzej, et al.
Published: (2024)

When Spatial meets Temporal in Action Recognition
by: Chen, Huilin, et al.
Published: (2024)

Empirical Bound Information-Directed Sampling for Norm-Agnostic Bandits
by: Suder, Piotr M., et al.
Published: (2025)

A Ranking-Based Optimization Algorithm for the Vehicle Relocation Problem in Car Sharing Services
by: Szwed, Piotr, et al.
Published: (2025)

Stable and Steerable Sparse Autoencoders with Weight Regularization
by: Jedryszek, Piotr, et al.
Published: (2026)