Nolte, Niklas

10 publications

NeurIPS 2025 Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer

ICLR 2025 MagicPIG: LSH Sampling for Efficient LLM Generation Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Leon Bottou, Zhihao Jia, Beidi Chen

ICLR 2025 Memory Mosaics Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Leon Bottou

TMLR 2025 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, Francois Charton, Kristin E. Lauter

ICLRW 2024 $\mathcal{D}^2$-Sparse: Navigating the Low Data Learning Regime with Coupled Sparse Networks Diganta Misra, Niklas Nolte, Sparsha Mishra, Lu Yin

ICML 2024 From Neurons to Neutrons: A Case Study in Interpretability Ouail Kitouni, Niklas Nolte, Vı́ctor Samuel Pérez-Dı́az, Sokratis Trifinopoulos, Mike Williams

NeurIPSW 2024 MagicPIG: LSH Sampling for Efficient LLM Generation Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Leon Bottou, Zhihao Jia, Beidi Chen

NeurIPS 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

ICLR 2023 Expressive Monotonic Neural Networks Niklas Nolte, Ouail Kitouni, Mike Williams

ICMLW 2023 NuCLR: Nuclear Co-Learned Representations Niklas Nolte, Ouail Kitouni, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams