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| 5 Feb 2024 | |
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| A trip to Olafur Eliasson's exhibition at Azabudai Hills Gallery, Tokyo #art #experience #photoessay #japan #தமிழ் |
| 4 Aug 2023 | |
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| A guide to updating probabilistic beliefs using Jeffrey's rule and Pearl's method. #math #ml #probability |
| 4 Jul 2023 | |
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| A short note of ideas used in the high-performance python profiler - Scalene #python #profiling #memory |
| 29 Aug 2022 | |
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| Discussion about the MAGSAC algorithm, addressing a crucial hyperparameter selection issue for the RANSAC algorithm. #math #ml #code #jax |
| 29 Jun 2022 | |
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| Stochastic Gradient Descent can be (kind of) reversed and can be used to compute gradients with respect to its hyperparameters. #math #ml #gradient #graph #code #jax #deep-learning |
| 31 May 2022 | |
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| The associative property of Kalman (Bayesian) filters can yield a parallel algorithm in O(log N). #math #ml #parallel #code #jax |
| 24 Apr 2022 | |
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| A complete autodiff library can be written only with linearizing the computational graph. #math #ml #gradient #graph #jax #code #deep-learning |
| 23 Sep 2021 | |
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| A quick discussion and a vectorized Python implementation for the computation of sample covariance matrices for multi-dimensional arrays. #math #ml #code |
| 30 Aug 2021 | |
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| A tutorial on the lossless Asymmetric Numeral Systems (ANS) coding commonly used in image compression. #math #ml #information-theory #code |
| 14 Aug 2021 | |
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| A discussion of an argument that no Turing Machine can adequately mimic human cognitive abilities, following Gödel's theorems. #philosophy #ai #math |
| 27 Jun 2021 | |
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| An interesting connection between the number of cycles in a digraph and its power adjacency matrix leads to a beautiful formulation for DAG constrains. #graph #math #ml |
| 18 Jun 2020 | |
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| Implicit differentiation can lead to an efficient computation of the gradient of reparametrized samples. #math #ml #gradient #deep-learning |