Publications

2024

Apple Intelligence Foundation Language Models

Apple

Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments

Angie Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman

Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences

Optimizing Dataflow Systems for Scalable Interactive Visualization

Junran Yang, Hyekang Kevin Joo, Sai Yerramreddy, Dominik Moritz, Leilani Battle
SIGMOD in Santiago, Chile 2024

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang
Best Paper Honorable Mention

2023

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements

Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman

Dead or Alive: Continuous Data Profiling for Interactive Data Science

Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer
Best Paper Honorable Mention

DashQL – Complete Analysis Workflows with SQL

André Kohn, Dominik Moritz, Thomas Neumann

Data Navigator: An accessibility-centered data navigation toolkit

Frank Elavsky, Lucas Nadolskis, Dominik Moritz

Designing Data: Proactive Data Collection and Iteration for Machine Learning Using Reflexive Planning, Monitoring, and Density Estimation

Aspen Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz
Artificial Intelligence & Human-Computer Interaction Workshop at ICML in Honolulu, Hawaii 2023