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I am primarily interested in these three questions:
(1) What is the structure of an internal model of the external world?
(2) What is the nature of the thing that decides whether or not to alter this internal model?
(3) How do humans bootstrap their knowledge?

Iteration 1: "Hi"

Organized with respect to space: 

IMG-7085-2.jpg

Long-term
goal:

Organized with respect to time:

(H) 193 ideas from “Amortized Variational Inference: Towards a Mathematical Foundation and Review” (2022) by Ankush Ganguly, Sanjana Jain, Ukrit Watchareeruetai 

(G) 121 ideas from “Abstraction and Analogy-Making in Artificial Intelligence” (2021) by Melanie Mitchell

(F) 65 ideas from “Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations” (2019) by Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein

(E) 41 ideas from “Deconstructing Episodic Memory with Construction” (2007) by Demis Hassabis and Eleanor Maguire

(D) 122 ideas from “State of the Art on Neural Rendering” (2020) by Ayush Tewari et al. 

(C) 60 ideas from “Compositional Inductive Biases in Function Learning” (2017) by Eric Schulz, Joshua Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel Gershman

(B) 60 ideas from “Memory as a Computational Resource” (2020) by Samuel Gershman and Ishita Dasgupta

My mnemonics feats ordered spatially: 

IMG_7085.jpg

My long-term mnemonics goal: 

IMG_7085 (1).jpg
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