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inFERENCe
The Future of Software
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Discrete Diffusion: Continuous-Time Markov Chains
We may finally crack Maths. But should we?
Mortal Komputation: On Hinton's argument for superhuman AI.
Autoregressive Models, OOD Prompts and the Interpolation Regime
We May be Surprised Again: Why I take LLMs seriously.
Implicit Bayesian Inference in Large Language Models
Eastern European Guide to Writing Reference Letters
Causal inference 4: Causal Diagrams, Markov Factorization, Structural Equation Models
On Information Theoretic Bounds for SGD
Notes on the Origin of Implicit Regularization in SGD
Some Intuition on the Neural Tangent Kernel
Notes on Causally Correct Partial Models
An information maximization view on the $\beta$-VAE objective
Dora Jambor
·
2021-03-18
·
via
inFERENCe
guest post with Dóra Jámbor This is a half-guest-post written jointly with Dóra, a fellow part…
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