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Max van Spengler
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2020 – today
- 2025
- [c4]Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes:
Compositional Entailment Learning for Hyperbolic Vision-Language Models. ICLR 2025 - [i6]Max van Spengler, Pascal Mettes:
Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space. CoRR abs/2502.17130 (2025) - 2024
- [i5]Avik Pal
, Max van Spengler, Guido Maria D'Amely di Melendugno
Compositional Entailment Learning for Hyperbolic Vision-Language Models. CoRR abs/2410.06912 (2024) - [i4]Max van Spengler, Jan Zahálka, Pascal Mettes:
Adversarial Attacks on Hyperbolic Networks. CoRR abs/2412.01495 (2024) - 2023
- [c3]Max van Spengler
Poincaré ResNet. ICCV 2023: 5396-5405 - [c2]Max van Spengler
HypLL: The Hyperbolic Learning Library. ACM Multimedia 2023: 9676-9679 - [i3]Max van Spengler
Poincaré ResNet. CoRR abs/2303.14027 (2023) - [i2]Max van Spengler
HypLL: The Hyperbolic Learning Library. CoRR abs/2306.06154 (2023) - 2022
- [c1]Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes:
Maximum Class Separation as Inductive Bias in One Matrix. NeurIPS 2022 - [i1]Tejaswi Kasarla
Maximum Class Separation as Inductive Bias in One Matrix. CoRR abs/2206.08704 (2022)
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