Niklas Nolte

29 papers A* 6Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking.
CoRR
Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer
2025 J jnl
Learning Distributions over Permutations and Rankings with Factorized Representations.
CoRR
Daniel Severo, Brian Karrer, Niklas Nolte
2025 A* conf
MagicPIG: LSH Sampling for Efficient LLM Generation.
ICLR
Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2025 A* conf
Memory Mosaics.
ICLR
Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou
2025 J jnl
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
Trans. Mach. Learn. Res.
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024 A* conf
From Neurons to Neutrons: A Case Study in Interpretability.
ICML
Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz, Sokratis Trifinopoulos, Mike Williams
2024 J jnl
From Neurons to Neutrons: A Case Study in Interpretability.
CoRR
Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz, Sokratis Trifinopoulos, Mike Williams
2024 J jnl
MagicPIG: LSH Sampling for Efficient LLM Generation.
CoRR
Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2024 J jnl
Memory Mosaics.
CoRR
Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou
2024 J jnl
SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
IACR Cryptol. ePrint Arch.
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024 J jnl
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
CoRR
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024 — conf
The Cool and the Cruel: Separating Hard Parts of LWE Secrets.
AFRICACRYPT
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024 A* conf
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More.
NeurIPS
Ouail Kitouni, Niklas Nolte, Adina Williams, Michael Rabbat, Diane Bouchacourt, Mark Ibrahim
2024 J jnl
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More.
CoRR
Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim
2024 J jnl
The cool and the cruel: separating hard parts of LWE secrets.
CoRR
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024 J jnl
The cool and the cruel: separating hard parts of LWE secrets.
IACR Cryptol. ePrint Arch.
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024 J jnl
Transformers Can Navigate Mazes With Multi-Step Prediction.
CoRR
Niklas Nolte, Ouail Kitouni, Adina Williams, Mike Rabbat, Mark Ibrahim
2024 J jnl
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory.
CoRR
Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon
2024 J jnl
Transforming the bootstrap: using transformers to compute scattering amplitudes in planar N = 4 super Yang-Mills theory.
Mach. Learn. Sci. Technol.
Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon
2023 A* conf
Expressive Monotonic Neural Networks.
ICLR
Niklas Nolte, Ouail Kitouni, Mike Williams
2023 J jnl
Expressive Monotonic Neural Networks.
CoRR
Ouail Kitouni, Niklas Nolte, Michael Williams
2023 J jnl
KBFormer: A Diffusion Model for Structured Entity Completion.
CoRR
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
2023 J jnl
NuCLR: Nuclear Co-Learned Representations.
CoRR
Ouail Kitouni, Niklas Nolte, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams
2023 J jnl
Robust and provably monotonic networks.
Mach. Learn. Sci. Technol.
Ouail Kitouni, Niklas Nolte, Mike Williams
2022 J jnl
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance.
CoRR
Ouail Kitouni, Niklas Nolte, Mike Williams
2022 A* conf
Towards Understanding Grokking: An Effective Theory of Representation Learning.
NeurIPS
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
2022 J jnl
Towards Understanding Grokking: An Effective Theory of Representation Learning.
CoRR
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
2021 J jnl
Robust and Provably Monotonic Networks.
CoRR
Ouail Kitouni, Niklas Nolte, Mike Williams
2020 — —
A selection framework for LHCb's upgrade trigger
Niklas Nolte