Niklas Nolte

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Diffusion Model

Competitive Learning

External Representations

Top Venues

IACR Cryptol. ePrint Arch.

Mach. Learn. Sci. Technol.

Publications

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 (2024)
Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz, Sokratis Trifinopoulos, Mike Williams
From Neurons to Neutrons: A Case Study in Interpretability. CoRR (2024)
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)
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 (2024)
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 (2024)
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 (2024)
Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou
Memory Mosaics. CoRR (2024)
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 (2024)
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 (2024)
Ouail Kitouni, Niklas Nolte, Michael Williams
Expressive Monotonic Neural Networks. CoRR (2023)
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
KBFormer: A Diffusion Model for Structured Entity Completion. CoRR (2023)
Ouail Kitouni, Niklas Nolte, Mike Williams
Robust and provably monotonic networks. Mach. Learn. Sci. Technol. 4 (3) (2023)
Ouail Kitouni, Niklas Nolte, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams
NuCLR: Nuclear Co-Learned Representations. CoRR (2023)
Niklas Nolte, Ouail Kitouni, Mike Williams
Expressive Monotonic Neural Networks. ICLR (2023)
Ouail Kitouni, Niklas Nolte, Mike Williams
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance. CoRR (2022)
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
Towards Understanding Grokking: An Effective Theory of Representation Learning. NeurIPS (2022)
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
Towards Understanding Grokking: An Effective Theory of Representation Learning. CoRR (2022)
Ouail Kitouni, Niklas Nolte, Mike Williams
Robust and Provably Monotonic Networks. CoRR (2021)