Amir Gholami
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
16
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Squeezed Attention: Accelerating Long Context Length LLM Inference. | Coleman Richard Charles Hooper, Sehoon Kim, Hiva Mohammadzadeh, Monishwaran Maheswaran, Sebastian Zhao, June Paik, Michael W. Mahoney, Kurt Keutzer, Amir Gholami |
| 2025 | ICML | Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks. | Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami |
| 2025 | ICML | QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. | Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami |
| 2024 | ACL | LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. | Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami |
| 2024 | EMNLP | TinyAgent: Function Calling at the Edge. | Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Richard Charles Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami |
| 2024 | ICML | SqueezeLLM: Dense-and-Sparse Quantization. | Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer |
| 2024 | ICML | An LLM Compiler for Parallel Function Calling. | Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami |
| 2024 | VTS | Reliable edge machine learning hardware for scientific applications. | Tommaso Baldi, Javier Campos, Benjamin Hawks, Jennifer Ngadiuba, Nhan Tran, Daniel Diaz, Javier M. Duarte, Ryan Kastner, Andres Meza, Melissa Quinnan, Olivia Weng, Caleb Geniesse, Amir Gholami, Michael W. Mahoney, Vladimir Loncar, Philip C. Harris, Joshua Agar, Shuyu Qin |
| 2023 | ECAI | Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. | Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami |
| 2022 | ICASSP | Integer-Only Zero-Shot Quantization for Efficient Speech Recognition. | Sehoon Kim, Amir Gholami, Zhewei Yao, Nicholas Lee, Patrick Wang, Aniruddha Nrusimha, Bohan Zhai, Tianren Gao, Michael W. Mahoney, Kurt Keutzer |
| 2022 | KDD | Learned Token Pruning for Transformers. | Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer |
| 2022 | WACV | Hessian-Aware Pruning and Optimal Neural Implant. | Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer |
| 2021 | AAAI | ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. | Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney |
| 2021 | ICML | I-BERT: Integer-only BERT Quantization. | Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer |
| 2021 | ICML | HAWQ-V3: Dyadic Neural Network Quantization. | Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer |
| 2020 | AAAI | Inefficiency of K-FAC for Large Batch Size Training. | Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney |
| 2020 | AAAI | Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. | Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer |
| 2020 | CVPR | ZeroQ: A Novel Zero Shot Quantization Framework. | Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer |
| 2020 | ICML | PowerNorm: Rethinking Batch Normalization in Transformers. | Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer |
| 2019 | CVPR | Trust Region Based Adversarial Attack on Neural Networks. | Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney |
| 2019 | ICCV | HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision. | Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer |
| 2019 | RoboCup | A Simulation Platform Design and Kinematics Analysis of MRL-HSL Humanoid Robot. | Amir Gholami, Milad Moradi, Majid Majidi |
| 2019 | RoboCup | MRL Champion Team Paper in Humanoid TeenSize League of RoboCup 2019. | Hamed Mahmudi, Amir Gholami, Mohammad Hossein Delavaran, Soheil Khatibi, Saeid Bazargan, Milad Moradi, Bita Alaee, Arash Rahmani, Kazem Firouzmandi Bandpey, Peyman Fallahzadeh, Meisam Teimouri |
| 2018 | CVPR | SqueezeNext: Hardware-Aware Neural Network Design. | Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer |
| 2018 | DAC | Co-design of deep neural nets and neural net accelerators for embedded vision applications. | Kiseok Kwon, Alon Amid, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer |
| 2018 | MICCAI | A Novel Domain Adaptation Framework for Medical Image Segmentation. | Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer |
| 2018 | SPAA | Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. | Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Bulu |
| 2017 | SC | A framework for scalable biophysics-based image analysis. | Amir Gholami, Andreas Mang, Klaudius Scheufele, Christos Davatzikos, Miriam Mehl, George Biros |
| 2016 | SC | Distributed-memory large deformation diffeomorphic 3D image registration. | Andreas Mang, Amir Gholami, George Biros |
| 2014 | SC | A Volume Integral Equation Stokes Solver for Problems with Variable Coefficients. | Dhairya Malhotra, Amir Gholami, George Biros |