Forrest Iandola

Researcher, Meta

Joined

November 2016

Names

Forrest Iandola (Preferred)

Forrest N. Iandola

Emails

****@gmail.com (Confirmed)

****@eecs.berkeley.edu (Confirmed)

****@deepscale.ai (Confirmed)

****@meta.com

Personal Links

Homepage

DBLP

Career & Education History

Researcher

Meta (meta.com)

2022 – Present

Researcher

Anduril (anduril.com)

2020 – 2022

Researcher

Tesla (tesla.com)

2019 – 2020

CEO

DeepScale (deepscale.ai)

2015 – 2019

PhD student

University of California Berkeley (berkeley.edu)

2012 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Kurt Keutzer

2012 – 2016

Expertise

Efficient AI

Present

Neural network architectures

Present

Mobile / embedded / on-device AI

Present

Quantization and pruning

Present

Publications

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, YILEI LI, qiang liu, Zhangyang Wang, Vikas Chandra
- AISTATS 2025 Poster
- Readers: Everyone
VEditBench: Holistic Benchmark for Text-Guided Video Editing
Jay Zhangjie Wu, Guian Fang, Dongrong Joe Fu, Vijay Anand Raghava Kanakagiri, Forrest Iandola, Kurt Keutzer, Wynne Hsu, Zhen Dong, Mike Zheng Shou
- Submitted to ICLR 2025
- Readers: Everyone
Stack-and-Delay: A New Codebook Pattern for Music Generation
Gael Le Lan, Varun K. Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest Iandola, Vikas Chandra
- ICASSP 2024
- Readers: Everyone
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Zechun Liu, Changsheng Zhao, Forrest Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra
- ICML 2024 Poster
- Readers: Everyone
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, YILEI LI, qiang liu, Zhangyang Wang, Vikas Chandra
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, YILEI LI, qiang liu, Zhangyang Wang, Vikas Chandra
- Submitted to ICLR 2024
- Readers: Everyone
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning.
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
- 2019 (modified: 10 Nov 2022)
- CVPR Workshops2019
- Readers: Everyone
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
- 2017 (modified: 10 Nov 2022)
- CVPR Workshops 2017
- Readers: Everyone
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters
Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer
- 2016 (modified: 10 Nov 2022)
- CVPR 2016
- Readers: Everyone
From captions to visual concepts and back
Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig
- 2015 (modified: 01 Apr 2024)
- CVPR 2015
- Readers: Everyone

View all 12 publications

Co-Authors

View all 59 co-authors