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ORCIDSohir Maskey
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2020 – today
- 2026
[i10]Sohir Maskey, Constantin Eichenberg, Johannes Messner, Douglas Orr:
1-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization. CoRR abs/2602.15563 (2026)- [i9]Jonas von Berg, Adalbert Fono, Massimiliano Datres, Sohir Maskey, Gitta Kutyniok:
The Price of Robustness: Stable Classifiers Need Overparameterization. CoRR abs/2603.02806 (2026) - 2025
- [j1]Sohir Maskey, Gitta Kutyniok
, Ron Levie:
Generalization Bounds for Message Passing Networks on Mixture of Graphons. SIAM J. Math. Data Sci. 7(2): 802-825 (2025) - [i8]Christopher Bülte, Sohir Maskey, Philipp Scholl, Jonas von Berg, Gitta Kutyniok:
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall. CoRR abs/2504.05471 (2025) - [i7]Sohir Maskey, Raffaele Paolino, Fabian Jogl, Gitta Kutyniok, Johannes F. Lutzeyer:
Graph Representational Learning: When Does More Expressivity Hurt Generalization? CoRR abs/2505.11298 (2025) - 2024
- [c3]Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok:
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. NeurIPS 2024 - [i6]Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok:
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. CoRR abs/2403.13749 (2024) - [i5]Sohir Maskey, Gitta Kutyniok, Ron Levie:
Generalization Bounds for Message Passing Networks on Mixture of Graphons. CoRR abs/2404.03473 (2024) - 2023
- [c2]Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok:
A Fractional Graph Laplacian Approach to Oversmoothing. NeurIPS 2023 - [i4]Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok:
A Fractional Graph Laplacian Approach to Oversmoothing. CoRR abs/2305.13084 (2023) - 2022
- [c1]Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok:
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. NeurIPS 2022 - [i3]Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok:
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. CoRR abs/2202.00645 (2022) - [i2]Sohir Maskey, Ali Parviz, Maximilian Thiessen, Hannes Stärk, Ylli Sadikaj, Haggai Maron:
Generalized Laplacian Positional Encoding for Graph Representation Learning. CoRR abs/2210.15956 (2022) - 2021
- [i1]Sohir Maskey, Ron Levie, Gitta Kutyniok:
Transferability of Graph Neural Networks: an Extended Graphon Approach. CoRR abs/2109.10096 (2021)
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