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Alex Renda
Alex Renda
PhD Student, MIT
Bestätigte E-Mail-Adresse bei csail.mit.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Comparing rewinding and fine-tuning in neural network pruning
A Renda, J Frankle, M Carbin
International Conference on Learning Representations, 2020
4382020
Ithemal: Accurate, portable and fast basic block throughput estimation using deep neural networks
C Mendis, A Renda, S Amarasinghe, M Carbin
International Conference on Machine Learning, 2019
1692019
Difftune: Optimizing cpu simulator parameters with learned differentiable surrogates
A Renda, Y Chen, C Mendis, M Carbin
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
402020
BHive: A benchmark suite and measurement framework for validating x86-64 basic block performance models
Y Chen, A Brahmakshatriya, C Mendis, A Renda, E Atkinson, O Sýkora, ...
2019 IEEE International Symposium on Workload Characterization (IISWC), 167-177, 2019
402019
TIRAMISU: A polyhedral compiler for dense and sparse deep learning
R Baghdadi, AN Debbagh, K Abdous, FZ Benhamida, A Renda, ...
arXiv preprint arXiv:2005.04091, 2020
132020
Can llms generate random numbers? evaluating llm sampling in controlled domains
AK Hopkins, A Renda, M Carbin
ICML 2023 Workshop: Sampling and Optimization in Discrete Space, 2023
102023
Programming with neural surrogates of programs
A Renda, Y Ding, M Carbin
Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas …, 2021
62021
Comparing rewinding and fine-tuning in neural network pruning. arXiv 2020
A Renda, J Frankle, M Carbin
arXiv preprint arXiv:2003.02389, 0
6
The effect of data dimensionality on neural network prunability
Z Ankner, A Renda, GK Dziugaite, J Frankle, T Jin
arXiv preprint arXiv:2212.00291, 2022
52022
Cello: Efficient computer systems optimization with predictive early termination and censored regression
Y Ding, A Renda, A Pervaiz, M Carbin, H Hoffmann
arXiv preprint arXiv:2204.04831, 2022
42022
COMET: X86 cost model explanation framework
I Chaudhary, A Renda, C Mendis, G Singh
arXiv preprint arXiv:2302.06836, 2023
12023
A Theory of Equivalence-Preserving Program Embeddings
L Weber, J Michel, A Renda, S Amarasinghe, M Carbin
12023
Renamer: A Transformer Architecture In-variant to Variable Renaming
Z Ankner, A Renda, M Carbin
12023
COMET: Neural Cost Model Explanation Framework
I Chaudhary, A Renda, C Mendis, G Singh
Proceedings of Machine Learning and Systems 6, 499-511, 2024
2024
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs
A Renda, Y Ding, M Carbin
Proceedings of the ACM on Programming Languages 7 (OOPSLA2), 1648-1676, 2023
2023
Fast Binarized Neural Network Training with Partial Pre-training
A Renda, JW Fromm
2020
Programming Language Support for Natural Language Interaction
A Renda, H Goldstein, S Bird, C Quirk, A Sampson
2018 SysML conference, 2018
2018
Abstractions for AI-Based User Interfaces and Systems
A Renda, H Goldstein, S Bird, C Quirk, A Sampson
arXiv preprint arXiv:1709.04991, 2017
2017
Learning to Compile Programs to Neural Networks
L Weber, J Michel, A Renda, M Carbin
Forty-first International Conference on Machine Learning, 0
Optimal Data Sampling for Training Neural Surrogates of Programs
A Renda, Y Ding, M Carbin
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