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
Squeezed Attention: Accelerating Long Context Length LLM Inference
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
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
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
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
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
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
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
HAWQV3: Dyadic Neural Network Quantization
arXiv 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
NeurIPS 2020 12
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