Amir Gholami

Orcid: 0000-0003-0125-3459

Affiliations:

University of California Berkeley, CA, USA

According to our database¹, Amir Gholami authored at least 78 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs.

[BibT_eX]

[DOI]

ACM Trans. Reconfigurable Technol. Syst., September, 2024

Detection and Classification of Anomalies in Power Distribution System Using Outlier Filtered Weighted Least Square.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, May, 2024

Spatio-Temporal Deep Graph Network for Event Detection, Localization, and Classification in Cyber-Physical Electric Distribution System.

[BibT_eX]

[DOI]

Mohammad Hossein Namaki

Anurag K. Srivastava

Yinghui Wu

IEEE Trans. Ind. Informatics, February, 2024

ORCA: Outage Root Cause Analysis in DER-Rich Power Distribution System Using Data Fusion, Hierarchical Clustering and FP-Growth Rule Mining.

[BibT_eX]

[DOI]

Amir Gholami

Anurag Srivastava

IEEE Trans. Smart Grid, January, 2024

Multi-Source Data Aggregation and Real-Time Anomaly Classification and Localization in Power Distribution Systems.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2024

AI and Memory Wall.

[BibT_eX]

[DOI]

IEEE Micro, 2024

Corrigendum: Applications and techniques for fast machine learning in science.

[BibT_eX]

[DOI]

Frontiers Big Data, 2024

Efficient and Scalable Estimation of Tool Representations in Vector Space.

[BibT_eX]

[DOI]

CoRR, 2024

TinyAgent: Function Calling at the Edge.

[BibT_eX]

[DOI]

Gopala Anumanchipalli

Kurt Keutzer

Amir Gholami

CoRR, 2024

Characterizing Prompt Compression Methods for Long Context Inference.

[BibT_eX]

[DOI]

CoRR, 2024

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization.

[BibT_eX]

[DOI]

CoRR, 2024

Reliable edge machine learning hardware for scientific applications.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

An LLM Compiler for Parallel Function Calling.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SqueezeLLM: Dense-and-Sparse Quantization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.

[BibT_eX]

[DOI]

Gopala Anumanchipalli

Michael W. Mahoney

Kurt Keutzer

Amir Gholami

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SPEED: Speculative Pipelined Execution for Efficient Decoding.

[BibT_eX]

[DOI]

CoRR, 2023

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs.

[BibT_eX]

[DOI]

CoRR, 2023

Full Stack Optimization of Transformer Inference: a Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Big Little Transformer Decoder.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Speculative Decoding with Big Little Decoder.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Road accident risk prediction using generalized regression neural network optimized with self-organizing map.

[BibT_eX]

[DOI]

Neda Kaffash-Charandabi

Amir Gholami

Ali Abdollahzadeh Bina

Neural Comput. Appl., 2022

Applications and Techniques for Fast Machine Learning in Science.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Hessian-Aware Pruning and Optimal Neural Implant.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Fast Post-Training Pruning Framework for Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learned Token Pruning for Transformers.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Integer-Only Zero-Shot Quantization for Efficient Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Applications and Techniques for Fast Machine Learning in Science.

[BibT_eX]

[DOI]

Allison McCarn Deiana

Nhan Tran

Joshua Agar

Michaela Blott

Giuseppe Di Guglielmo

Tomás E. Müller-Bravo

Seyedramin Rasoulinezhad

Maria Domenica Galati

Mohammed Attia Mohammed

Subramanian Ramamoorthy

CoRR, 2021

Learned Token Pruning for Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Q-ASR: Integer-only Zero-shot Quantization for Efficient Speech Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

A Survey of Quantization Methods for Efficient Neural Network Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Hessian-Aware Pruning and Optimal Neural Implant.

[BibT_eX]

[DOI]

CoRR, 2021

Characterizing possible failure modes in physics-informed neural networks.

[BibT_eX]

[DOI]

Aditi S. Krishnapriyan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HAWQ-V3: Dyadic Neural Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

I-BERT: Integer-only BERT Quantization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Denoising and Bad Data Detection in Distribution Phasor Measurements using Filtering, Clustering and Koopman Mode Analysis.

[BibT_eX]

[DOI]

Amirkhosro Vosughi

Amir Gholami

Anurag K. Srivastava

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

HAWQV3: Dyadic Neural Network Quantization.

[BibT_eX]

[DOI]

CoRR, 2020

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Rethinking Batch Normalization in Transformers.

[BibT_eX]

[DOI]

CoRR, 2020

Boundary thickness and robustness in learning models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

PowerNorm: Rethinking Batch Normalization in Transformers.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

ZeroQ: A Novel Zero Shot Quantization Framework.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PyHessian: Neural Networks Through the Lens of the Hessian.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Inefficiency of K-FAC for Large Batch Size Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Personalized Emotion Recognition by Personality-Aware High-Order Learning of Physiological Signals.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2019

CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2019

A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems.

[BibT_eX]

[DOI]

Kybernetika, 2019

Co-design of deep neural nets and neural net accelerators for embedded vision applications.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2019

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

ANODEV2: A Coupled Neural ODE Evolution Framework.

[BibT_eX]

[DOI]

CoRR, 2019

MRL Champion Team Paper in Humanoid TeenSize League of RoboCup 2019.

[BibT_eX]

[DOI]

Hamed Mahmudi

Amir Gholami

Mohammad Hossein Delavaran

Kazem Firouzmandi Bandpey

Peyman Fallahzadeh

Meisam Teimouri

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

A Simulation Platform Design and Kinematics Analysis of MRL-HSL Humanoid Robot.

[BibT_eX]

[DOI]

Amir Gholami

Milad Moradi

Majid Majidi

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

ANODEV2: A Coupled Neural ODE Framework.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs.

[BibT_eX]

[DOI]

Amir Gholaminejad

Kurt Keutzer

George Biros

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Trust Region Based Adversarial Attack on Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Parameter Re-Initialization through Cyclical Batch Size Schedules.

[BibT_eX]

[DOI]

CoRR, 2018

On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2018

Large batch size training of neural networks with adversarial training and second-order information.

[BibT_eX]

[DOI]

CoRR, 2018

PDE-constrained optimization in medical image analysis.

[BibT_eX]

[DOI]

CoRR, 2018

Integrated Model, Batch, and Domain Parallelism in Training Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Novel Domain Adaptation Framework for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SqueezeNext: Hardware-Aware Neural Network Design.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Integrated Model and Data Parallelism in Training Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

A framework for scalable biophysics-based image analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2017

2016

FFT, FMM, or Multigrid? A comparative Study of State-Of-the-Art Poisson Solvers for Uniform and Nonuniform Grids in the Unit Cube.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2016

Distributed-memory large deformation diffeomorphic 3D image registration.

[BibT_eX]

[DOI]

Andreas Mang

Amir Gholami

George Biros

Proceedings of the International Conference for High Performance Computing, 2016

2015

AccFFT: A library for distributed-memory FFT on CPU and GPU architectures.

[BibT_eX]

[DOI]

CoRR, 2015

2014

FFT, FMM, or MULTIGRID? A comparative study of state-of-the-art poisson solvers.

[BibT_eX]

[DOI]

CoRR, 2014

A Volume Integral Equation Stokes Solver for Problems with Variable Coefficients.

[BibT_eX]

[DOI]

Dhairya Malhotra

Amir Gholami

George Biros

Proceedings of the International Conference for High Performance Computing, 2014

Amir Gholami

Timeline

Legend:

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On csauthors.net:

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