inFERENCe

@inference@robot.villas

Ferenc Huszar's blog about machine learning research, deep learning, causal inference, statistics, and software.

Source: https://www.inference.vc/rss/

Homepage: https://www.inference.vc

Posts

15

Posts

The Future of Software #MachineLearning #Software #AI
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Feb 25, 2026
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On #MachineLearning #DeepLearning #AI
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Jan 31, 2026
Discrete Diffusion: Continuous-Time Markov Chains #MachineLearning #DeepLearning #Statistics
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May 22, 2025
We may finally crack Maths. But should we? #MachineLearning #AI #Research
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Jun 8, 2023
Mortal Komputation: On Hinton's argument for superhuman AI. #MachineLearning #AI #Research
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May 30, 2023
Autoregressive Models, OOD Prompts and the Interpolation Regime #MachineLearning #DeepLearning #AI
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Mar 30, 2023
We May be Surprised Again: Why I take LLMs seriously. #MachineLearning #AI #DeepLearning
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Mar 22, 2023
Implicit Bayesian Inference in Large Language Models #MachineLearning #DeepLearning #BayesianInference
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Mar 3, 2022
Eastern European Guide to Writing Reference Letters #Academia #Career #Writing
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Feb 28, 2022
Causal inference 4: Causal Diagrams, Markov Factorization, Structural Equation Models #MachineLearning #CausalInference #Statistics
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Jun 10, 2021
On Information Theoretic Bounds for SGD #MachineLearning #Statistics #DeepLearning
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Apr 23, 2021
Notes on the Origin of Implicit Regularization in SGD #MachineLearning #DeepLearning #Research
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Apr 1, 2021
An information maximization view on the $\beta$-VAE objective #MachineLearning #DeepLearning #AI
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Mar 18, 2021
Some Intuition on the Neural Tangent Kernel #MachineLearning #DeepLearning #AI
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Nov 20, 2020
Notes on Causally Correct Partial Models #MachineLearning #CausalInference #Statistics
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Nov 12, 2020