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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
Notes on the Origin of Implicit Regularization in SGD
An information maximization view on the $\beta$-VAE objective
Some Intuition on the Neural Tangent Kernel
Notes on Causally Correct Partial Models
On Information Theoretic Bounds for SGD
Ferenc Husza
·
2021-04-23
·
via
inFERENCe
Few days ago we had a talk by Gergely Neu, who presented his recent work: Gergely Neu Information-Theoretic G…
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