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What is my math transformer doing? -- Three results on interpretability
  and generalization

What is my math transformer doing? -- Three results on interpretability and generalization

31 October 2022
Franccois Charton
ArXivPDFHTML

Papers citing "What is my math transformer doing? -- Three results on interpretability and generalization"

5 / 5 papers shown
Title
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao Song
Yufa Zhou
101
18
0
21 Feb 2025
Generating particle physics Lagrangians with transformers
Generating particle physics Lagrangians with transformers
Yong Sheng Koay
Rikard Enberg
Stefano Moretti
Eliel Camargo-Molina
44
0
0
17 Jan 2025
Positional Description Matters for Transformers Arithmetic
Positional Description Matters for Transformers Arithmetic
Ruoqi Shen
Sébastien Bubeck
Ronen Eldan
Yin Tat Lee
Yuanzhi Li
Yi Zhang
42
38
0
22 Nov 2023
Looped Transformers are Better at Learning Learning Algorithms
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang
Kangwook Lee
Robert D. Nowak
Dimitris Papailiopoulos
29
24
0
21 Nov 2023
Controllable Neural Symbolic Regression
Controllable Neural Symbolic Regression
Tommaso Bendinelli
Luca Biggio
Pierre-Alexandre Kamienny
36
14
0
20 Apr 2023
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