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Niklas Nolte
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2020 – today
- 2024
- [c3]Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter:
The Cool and the Cruel: Separating Hard Parts of LWE Secrets. AFRICACRYPT 2024: 428-453 - [i14]Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter:
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. CoRR abs/2402.01082 (2024) - [i13]Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter:
The cool and the cruel: separating hard parts of LWE secrets. CoRR abs/2403.10328 (2024) - [i12]Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon:
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory. CoRR abs/2405.06107 (2024) - [i11]Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou:
Memory Mosaics. CoRR abs/2405.06394 (2024) - [i10]Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz, Sokratis Trifinopoulos, Mike Williams:
From Neurons to Neutrons: A Case Study in Interpretability. CoRR abs/2405.17425 (2024) - [i9]Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim:
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More. CoRR abs/2406.05183 (2024) - [i8]Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter:
SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. IACR Cryptol. ePrint Arch. 2024: 150 (2024) - [i7]Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter:
The cool and the cruel: separating hard parts of LWE secrets. IACR Cryptol. ePrint Arch. 2024: 443 (2024) - 2023
- [j1]Ouail Kitouni
, Niklas Nolte
, Mike Williams
:
Robust and provably monotonic networks. Mach. Learn. Sci. Technol. 4(3): 35020 (2023) - [c2]Niklas Nolte, Ouail Kitouni, Mike Williams:
Expressive Monotonic Neural Networks. ICLR 2023 - [i6]Ouail Kitouni, Niklas Nolte, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams:
NuCLR: Nuclear Co-Learned Representations. CoRR abs/2306.06099 (2023) - [i5]Ouail Kitouni, Niklas Nolte, Michael Williams:
Expressive Monotonic Neural Networks. CoRR abs/2307.07512 (2023) - [i4]Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra:
KBFormer: A Diffusion Model for Structured Entity Completion. CoRR abs/2312.05253 (2023) - 2022
- [c1]Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams:
Towards Understanding Grokking: An Effective Theory of Representation Learning. NeurIPS 2022 - [i3]Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams:
Towards Understanding Grokking: An Effective Theory of Representation Learning. CoRR abs/2205.10343 (2022) - [i2]Ouail Kitouni, Niklas Nolte, Mike Williams:
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance. CoRR abs/2209.15624 (2022) - 2021
- [i1]Ouail Kitouni, Niklas Nolte, Mike Williams:
Robust and Provably Monotonic Networks. CoRR abs/2112.00038 (2021) - 2020
- [b1]Niklas Nolte:
A selection framework for LHCb's upgrade trigger. Dortmund University, Germany, 2020
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