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science-memo.blogspot.com
2025
Compressive algorithmic randomness: Gibbs-randomness proposition for massively energy efficient deep learningoriginal ↗
3 Jun 2025
Ultimate physical limit of data storage: Connecting Bekenstein Bound to Landauer Principleoriginal ↗
23 Apr 2025
2024
Basic understanding of a metric tensor: Disassemble the concept of a distance over Riemannian Manifoldsoriginal ↗
27 Apr 2024
2023
Mathematical Definition of Heuristic Causal Inference: What differentiates DAGs and do-calculus?original ↗
10 Nov 2023
Resolution of misconception of overfitting: Differentiating learning curves from Occam curvesoriginal ↗
1 Apr 2023
Loschimidt's Paradox and Causality: Can we establish Pearlian expression for Boltzmann's H-theorem?original ↗
25 Feb 2023
Insights into Bekenstein entropy with an intuitive mathematical definitions: A look into Thermodynamics of Black-holesoriginal ↗
18 Feb 2023
Misconceptions on non-temporal learning: When do machine learning models qualify as prediction systems?original ↗
28 Jan 2023
2022
The concept of overgeneralisation and goodness of rank : Overfitting is not about comparing training and test learning curvesoriginal ↗
20 Dec 2022
The conditional query fallacy: Applying Bayesian inference from discrete mathematics perspectiveoriginal ↗
5 Dec 2022
Differentiating ensembles and sample spaces: Alignment between statistical mechanics and probability theoryoriginal ↗
15 Nov 2022
25 Oct 2022
Heavy-matter-wave and ultra-sensitive interferometry: An opportunity for quantum-gravity becoming an evidence based researchoriginal ↗
4 Oct 2022
Building robust AI systems: Is an artificial intelligent agent just a probabilistic boolean function?original ↗
20 Sept 2022
5 Jul 2022
Empirical risk minimization is not learning : A mathematical definition of learning and re-understanding of overfitting and Occam's razor in machine learningoriginal ↗
20 Jun 2022
2021
21 Jul 2021
23 Apr 2021
7 Mar 2021
2020
Statistical Physics Origins of Connectionist Learning: Cooperative Phenomenon to Ising-Lenz Architecturesoriginal ↗
28 Dec 2020
Resolution of the dilemma in explainable Artificial Intelligence: Who is going to explain the explainer?original ↗
3 Dec 2020
30 Nov 2020
Short Opinion: Extending General Relativity to N-dimensions is not even wrong leading to inventor's paradoxoriginal ↗
7 Apr 2020
Freeman Dyson's contribution to deep learning: Circular ensembles mimics trained deep neural networksoriginal ↗
1 Mar 2020
2017
2016
2015
2014
13 May 2014
Particle approximation to probability density functions: Dirac delta function representationoriginal ↗
17 Jan 2014
2013
19 Jun 2013
2012
3 Dec 2012
22 Oct 2012
15 Oct 2012
19 Feb 2012
5 Feb 2012
2011
13 Dec 2011
13 Dec 2011
11 Dec 2011
11 Dec 2011
11 Dec 2011
23 Oct 2011
7 Aug 2011
10 Jul 2011
20 Mar 2011
20 Mar 2011
13 Mar 2011
25 Feb 2011
2 Feb 2011