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INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order
  Gradient Computations in Implicit Neural Representation Processing

INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing

11 August 2023
Stefan Abi-Karam
Rishov Sarkar
Dejia Xu
Zhiwen Fan
Zhangyang Wang
Cong Hao
ArXivPDFHTML

Papers citing "INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing"

3 / 3 papers shown
Title
COIN++: Neural Compression Across Modalities
COIN++: Neural Compression Across Modalities
Emilien Dupont
H. Loya
Milad Alizadeh
Adam Goliñski
Yee Whye Teh
Arnaud Doucet
57
82
0
30 Jan 2022
From data to functa: Your data point is a function and you can treat it
  like one
From data to functa: Your data point is a function and you can treat it like one
Emilien Dupont
Hyunjik Kim
S. M. Ali Eslami
Danilo Jimenez Rezende
Dan Rosenbaum
TDI
3DPC
181
139
0
28 Jan 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
383
11,700
0
09 Mar 2017
1