Ankner, Zachary

8 publications

ICML 2025 Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding Tian Jin, Ellie Y Cheng, Zachary Ankner, Nikunj Saunshi, Blake M Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin

ICLR 2025 Perplexed by Perplexity: Perplexity-Based Data Pruning with Small Reference Models Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L Leavitt, Mansheej Paul

ICLR 2025 Scaling Laws for Precision Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Re, Aditi Raghunathan

NeurIPSW 2024 Critique-Out-Loud Reward Models Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan Daniel Chang, Prithviraj Ammanabrolu

ICLRW 2024 Perplexed by Perplexity: Perplexity-Based Pruning with Small Reference Models Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L Leavitt, Mansheej Paul

ICMLW 2024 Vid3D: Synthesis of Dynamic 3D Scenes Using 2D Video Diffusion Rishab Parthasarathy, Zachary Ankner, Aaron Gokaslan

CVPR 2023 3D Neural Field Generation Using Triplane Diffusion J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein

NeurIPSW 2022 The Effect of Data Dimensionality on Neural Network Prunability Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin