Search Results for author: Christopher Lott

Found 4 papers, 1 papers with code

Neural Topological Ordering for Computation Graphs

no code implementations13 Jul 2022 Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan

Recent works on machine learning for combinatorial optimization have shown that learning based approaches can outperform heuristic methods in terms of speed and performance.

BIG-bench Machine Learning Combinatorial Optimization

Moccasin: Efficient Tensor Rematerialization for Neural Networks

1 code implementation27 Apr 2023 Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina

The deployment and training of neural networks on edge computing devices pose many challenges.

Edge-computing

Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement

no code implementations21 Feb 2024 Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott

We empirically evaluate RSD with Llama 2 and OPT models, showing that RSD outperforms the baseline methods, consistently for fixed draft sequence length and in most cases for fixed computational budgets at LLM.

Language Modelling

Cannot find the paper you are looking for? You can Submit a new open access paper.