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2020 – today
- 2024
[c15]Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka:
Position: Future Directions in the Theory of Graph Machine Learning. ICML 2024- [i32]Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka:
Future Directions in Foundations of Graph Machine Learning. CoRR abs/2402.02287 (2024) - [i31]Sohir Maskey, Gitta Kutyniok, Ron Levie:
Generalization Bounds for Message Passing Networks on Mixture of Graphons. CoRR abs/2404.03473 (2024) - [i30]Ben Finkelshtein, Ismail Ilkan Ceylan, Michael M. Bronstein, Ron Levie:
Learning on Large Graphs using Intersecting Communities. CoRR abs/2405.20724 (2024) - [i29]Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie:
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. CoRR abs/2406.01249 (2024) - [i28]Daniel Zilberg, Ron Levie:
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities. CoRR abs/2409.11618 (2024) - 2023
- [j6]Çagkan Yapar
, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach. IEEE Trans. Wirel. Commun. 22(12): 9703-9717 (2023) - [c14]Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie:
Explaining Image Classifiers with Multiscale Directional Image Representation. CVPR 2023: 18600-18609 - [c13]Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
The First Pathloss Radio Map Prediction Challenge. ICASSP 2023: 1-2 - [c12]Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok:
Memorization-Dilation: Modeling Neural Collapse Under Noise. ICLR 2023 - [c11]Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie:
Unveiling the sampling density in non-uniform geometric graphs. ICLR 2023 - [c10]Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
Overview of the Urban Wireless Localization Competition. MLSP 2023: 1-6 - [c9]Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris:
Fine-grained Expressivity of Graph Neural Networks. NeurIPS 2023 - [c8]Ningyuan Huang, Ron Levie, Soledad Villar:
Approximately Equivariant Graph Networks. NeurIPS 2023 - [c7]Ron Levie:
A graphon-signal analysis of graph neural networks. NeurIPS 2023 - [i27]Ron Levie:
A graphon-signal analysis of graph neural networks. CoRR abs/2305.15987 (2023) - [i26]Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris:
Fine-grained Expressivity of Graph Neural Networks. CoRR abs/2306.03698 (2023) - [i25]Ningyuan Huang, Ron Levie, Soledad Villar:
Approximately Equivariant Graph Networks. CoRR abs/2308.10436 (2023) - [i24]Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
The First Pathloss Radio Map Prediction Challenge. CoRR abs/2310.07658 (2023) - 2022
- [j5]Ron Levie, Haim Avron:
Randomized continuous frames in time-frequency analysis. Adv. Comput. Math. 48(3): 25 (2022) - [c6]Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok:
Cartoon Explanations of Image Classifiers. ECCV (12) 2022: 443-458 - [c5]Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. ICASSP 2022: 4063-4067 - [c4]Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok:
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. NeurIPS 2022 - [d1]Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
Dataset of Pathloss and ToA Radio Maps with Localization Application. IEEE DataPort, 2022
- [i23]Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok:
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. CoRR abs/2202.00645 (2022) - [i22]Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. CoRR abs/2202.00738 (2022) - [i21]Duc Anh Nguyen, Ron Levie, Julian Lienen, Gitta Kutyniok, Eyke Hüllermeier:
Memorization-Dilation: Modeling Neural Collapse Under Noise. CoRR abs/2206.05530 (2022) - [i20]Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie:
Unveiling the Sampling Density in Non-Uniform Geometric Graphs. CoRR abs/2210.08219 (2022) - [i19]Stefan Kolek, Robert Windesheim, Héctor Andrade-Loarca, Gitta Kutyniok, Ron Levie:
Explaining Image Classifiers with Multiscale Directional Image Representation. CoRR abs/2211.12857 (2022) - [i18]Çagkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire:
On the Effective Usage of Priors in RSS-based Localization. CoRR abs/2212.00728 (2022) - [i17]Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
Dataset of Pathloss and ToA Radio Maps With Localization Application. CoRR abs/2212.11777 (2022) - 2021
- [j4]Ron Levie, Wei Huang, Lorenzo Bucci, Michael M. Bronstein, Gitta Kutyniok:
Transferability of Spectral Graph Convolutional Neural Networks. J. Mach. Learn. Res. 22: 272:1-272:59 (2021) - [j3]Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire:
RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. IEEE Trans. Wirel. Commun. 20(6): 4001-4015 (2021) - [i16]Ron Levie, Efrat Krimer Avraham, Nir A. Sochen:
Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach. CoRR abs/2104.01654 (2021) - [i15]Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach. CoRR abs/2106.12556 (2021) - [i14]Simon Halvdansson, Jan-Fredrik Olsen, Nir A. Sochen, Ron Levie:
Existence of Uncertainty Minimizers for the Continuous Wavelet Transform. CoRR abs/2108.12018 (2021) - [i13]Sohir Maskey, Ron Levie, Gitta Kutyniok:
Transferability of Graph Neural Networks: an Extended Graphon Approach. CoRR abs/2109.10096 (2021) - [i12]Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok:
Cartoon Explanations of Image Classifiers. CoRR abs/2110.03485 (2021) - [i11]Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok:
A Rate-Distortion Framework for Explaining Black-box Model Decisions. CoRR abs/2110.08252 (2021) - 2020
- [c3]Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire:
Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. ICASSP 2020: 8678-8682 - [c2]Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok:
A Rate-Distortion Framework for Explaining Black-Box Model Decisions. xxAI@ICML 2020: 91-115 - [i10]Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
Real-time Localization Using Radio Maps. CoRR abs/2006.05397 (2020) - [i9]Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna:
In-Distribution Interpretability for Challenging Modalities. CoRR abs/2007.00758 (2020) - [i8]Ron Levie, Haim Avron:
Randomized Continuous Frames in Time-Frequency Analysis. CoRR abs/2009.10525 (2020) - [i7]Ron Levie, Haim Avron, Gitta Kutyniok:
Quasi Monte Carlo Time-Frequency Analysis. CoRR abs/2011.02025 (2020)
2010 – 2019
- 2019
- [j2]Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein:
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters. IEEE Trans. Signal Process. 67(1): 97-109 (2019) - [i6]Ron Levie, Elvin Isufi, Gitta Kutyniok:
On the Transferability of Spectral Graph Filters. CoRR abs/1901.10524 (2019) - [i5]Ron Levie, Michael M. Bronstein, Gitta Kutyniok:
Transferability of Spectral Graph Convolutional Neural Networks. CoRR abs/1907.12972 (2019) - [i4]Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire:
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. CoRR abs/1911.09002 (2019) - 2017
- [i3]Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein:
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters. CoRR abs/1705.07664 (2017) - [i2]Ron Levie, Nir A. Sochen:
Uncertainty principles and optimally sparse wavelet transforms. CoRR abs/1707.04863 (2017) - [i1]Ron Levie, Nir A. Sochen:
A wavelet Plancherel theory with application to sparse continuous wavelet transform. CoRR abs/1712.02770 (2017) - 2014
- [j1]Ron Levie, Hans-Georg Stark, Florian Lieb, Nir A. Sochen:
Adjoint translation, adjoint observable and uncertainty principles. Adv. Comput. Math. 40(3): 609-627 (2014) - 2012
- [c1]Daniel Lantzberg, Florian Lieb, Hans-Georg Stark, Ron Levie, Nir A. Sochen:
Uncertainty principles, minimum uncertainty samplings and translations. EUSIPCO 2012: 799-803
Coauthor Index
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last updated on 2024-10-15 20:47 CEST by the dblp team
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