Niklas Nolte

According to our database, Niklas Nolte authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.

Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2024

The cool and the cruel: separating hard parts of LWE secrets.

Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2024

The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More.

Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim

CoRR, 2024

Memory Mosaics.

Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou

CoRR, 2024

Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory.

Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon

CoRR, 2024

From Neurons to Neutrons: A Case Study in Interpretability.

Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz, Sokratis Trifinopoulos, Mike Williams

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Robust and provably monotonic networks.

Ouail Kitouni, Niklas Nolte, Mike Williams

Mach. Learn. Sci. Technol., September, 2023

KBFormer: A Diffusion Model for Structured Entity Completion.

Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra

CoRR, 2023

Expressive Monotonic Neural Networks.

Ouail Kitouni, Niklas Nolte, Michael Williams

CoRR, 2023

NuCLR: Nuclear Co-Learned Representations.

Ouail Kitouni, Niklas Nolte, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams

CoRR, 2023

Expressive Monotonic Neural Networks.

Niklas Nolte, Ouail Kitouni, Mike Williams

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance.

Ouail Kitouni, Niklas Nolte, Mike Williams

CoRR, 2022

Towards Understanding Grokking: An Effective Theory of Representation Learning.

Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

A selection framework for LHCb's upgrade trigger

Niklas Nolte

PhD thesis, 2020