ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation. - Zhuo Chen; Laker Newhouse; Eddie Chen; Di Luo; Marin Soljacic (NeurIPS, 2023)

Autoregressive Neural TensorNet: Bridging Neural Networks and Tensor Networks for Quantum Many-Body Simulation. - Zhuo Chen; Laker Newhouse; Eddie Chen; Di Luo; Marin Soljacic (CoRR, 2023)

An Assessment of Model-On-Model Deception. - Julius Heitkoetter; Michael Gerovitch; Laker Newhouse (CoRR, 2024)

Old Optimizer, New Norm: An Anthology. - Jeremy Bernstein; Laker Newhouse (CoRR, 2024)

Modular Duality in Deep Learning. - Jeremy Bernstein; Laker Newhouse (CoRR, 2024)

Training Transformers with Enforced Lipschitz Constants. - Laker Newhouse; R. Preston Hess; Franz Cesista; Andrii Zahorodnii; Jeremy Bernstein; Phillip Isola (CoRR, 2025)