Michael W. Mahoney
- Papers
- 22
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Authored papers
22Residual Context Diffusion Language Models
arXiv 2026
Arbitrage: Efficient Reasoning via Advantage-Aware Speculation
arXiv 2025
ETS: Efficient Tree Search for Inference-Time Scaling
arXiv 2025
Chronos: Learning the Language of Time Series
arXiv 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
arXiv 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
arXiv 2024
Squeezed Attention: Accelerating Long Context Length LLM Inference
arXiv 2024
An LLM Compiler for Parallel Function Calling
arXiv 2023
SqueezeLLM: Dense-and-Sparse Quantization
arXiv 2023
Speculative Decoding with Big Little Decoder
speculative-decoding-with-big-little-decoder
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
arXiv 2023
Learning Physical Models that Can Respect Conservation Laws
arXiv 2023
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
arXiv 2023
A Three-regime Model of Network Pruning
arXiv 2023
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
arXiv 2022
I-BERT: Integer-only BERT Quantization
arXiv 2021
Hessian-Aware Pruning and Optimal Neural Implant
arXiv 2021
HAWQV3: Dyadic Neural Network Quantization
arXiv 2020
ZeroQ: A Novel Zero Shot Quantization Framework
zeroq-a-novel-zero-shot-quantization-1
PowerNorm: Rethinking Batch Normalization in Transformers
ICML 2020 1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
arXiv 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
NeurIPS 2020 12
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