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Maciej Falkiewicz

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings
2021 · Piotr Bielak, Kamil Tagowski, et al. · Knowledge-Based Systems · 29
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Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
2023 · Maciej Falkiewicz, Naoya Takeishi, et al. · neural information processing systems · 4
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Kolmogorov-Smirnov GAN
2024 · Falkiewicz, Maciej, Takeishi, Naoya, et al. · arXiv (Cornell University) · 2
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Spatially Adaptive Noise Injection
2026 · Lavda, Frantzeska, Falkiewicz, Maciej, et al. · arXiv (Cornell University) · 1
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Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport
2025 · Singh, Gurjeet Sangra, Falkiewicz, Maciej, et al. · arXiv (Cornell University) · 1
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Incremental embedding for temporal networks
2019 · Tomasz Kajdanowicz, Kamil Tagowski, et al. · arXiv (Cornell University) · 1
Learning $ω$-Powered Conditional Distributions with Importance-Weighted Flow Matching
2026 · Falkiewicz, Maciej, Lavda, Frantzeska, et al. · arXiv (Cornell University)
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ImageNet 256x256 Log Densities for Learning Omega-Powered Conditional Distributions
2026 · Falkiewicz, Maciej, Lavda, Frantzeska, et al. · Zenodo (CERN European Organization for Nuclear Research)
MING: A Functional Approach to Learning Molecular Generative Models
2024 · Nguyen, Van Khoa, Falkiewicz, Maciej, et al. · arXiv (Cornell University)
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Incremental Learning in Dynamic Networks for Node Classification
2018 · Tomasz Kajdanowicz, Kamil Tagowski, et al. · Lecture notes in social networks
Works count: 11
Citation count: 38
H-index: 2
I10-index: 1
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