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**Submitting author:** @umutcanaltin (Umut Can Altin)
**Repository:** https://github.com/umutcanaltin/fpgai_compiler
**Branch with paper.md** (empty if default branch): main
**Version:** v1.0.0
**Edit…
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ONNX has evolved into much more than just a specification for exchanging models. Here's a breakdown of why:
ONNX Runtime: A highly optimized inference engine that executes ONNX models. This activel…
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A continuation from task #15. Should include an in-depth description of the technology behind the LLMs and of the training and inference. Finish the section
This issue should neatly be tied together …
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[ICML 2023 Workshop SPIGM homepage](https://openreview.net/group?id=ICML.cc/2023/Workshop/SPIGM)
```bib
@inproceedings{
wang-henderson2023graph,
title={Graph Neural Network Powered Bayesian Opt…
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**Notebook title**: Variational Inference: Bayesian Neural Networks
**Notebook url**: https://www.pymc.io/projects/examples/en/latest/variational_inference/bayesian_neural_network_advi.html
## Iss…
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# Hosting/Rehosting Request for "Soft Computing Tools in Engineering Lab" IIT Kharagpur
## Lab Name: Soft Computing Tools in Engineering Lab
## Discipline name: Computer Science Engineering, Civil…
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[Here](https://github.com/samuel-yeom/ml-privacy-csf18/files/5882657/nn.zip) is the code we used for the membership inference experiments on neural networks. The code is in Python 2 and was run with o…
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The paper "Likelihood-free parameter estimation with neural Bayes estimators" (Sainsbury-Dale, Zammit-Mangion, & Huser, 2023) enables neural amortized *point* estimation, which is generally faster tha…
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# Decompiler Research in 2024
## Security Top-4 Conferences
### NDSS
- DeGPT: Optimizing Decompiler Output with LLM
### USENIX
- Ahoy SAILR! There is No Need to DREAM of C: A Compiler-Aware St…
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### Description
:rocket:Ascend is a full-stack AI computing infrastructure for industry applications and services based on Huawei Ascend processors and software. For more information about Ascend, se…