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Gibbs Randomness-Compression Proposition: An Efficient Deeplearning

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02084158openalex-snapshot
The thermodynamics of computation—a review
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Deep learning for compressive sensing: a ubiquitous systems perspective
inferredcites →https://doi.org/10.1007/s10957-016-0892-3openalex-snapshot
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding
inferredcites →https://doi.org/10.1016/j.aop.2016.10.017openalex-snapshot
On the dispute between Boltzmann and Gibbs entropy
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1016/s0019-9958(64)90131-7openalex-snapshot
A formal theory of inductive inference. Part II
inferredcites →https://doi.org/10.1017/cbo9780511794308openalex-snapshot
Compressed Sensing
inferredcites →https://doi.org/10.1038/scientificamerican0575-47openalex-snapshot
Randomness and Mathematical Proof
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1086/663239openalex-snapshot
The Role of Randomness in Darwinian Evolution
inferredcites →https://doi.org/10.1103/physrev.106.620openalex-snapshot
Information Theory and Statistical Mechanics
inferredcites →https://doi.org/10.1103/physreva.39.6600openalex-snapshot
Pruning versus clipping in neural networks
inferredcites →https://doi.org/10.1103/physreva.40.4731openalex-snapshot
Algorithmic randomness and physical entropy
inferredcites →https://doi.org/10.1103/physrevlett.35.1792openalex-snapshot
Solvable Model of a Spin-Glass
inferredcites →https://doi.org/10.1109/msp.2007.4286571openalex-snapshot
Compressive Sensing [Lecture Notes]
inferredcites →https://doi.org/10.1109/tit.2006.871582openalex-snapshot
Compressed sensing
inferredcites →https://doi.org/10.1109/tit.2006.885507openalex-snapshot
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
inferredcites →https://doi.org/10.1119/1.16747openalex-snapshot
Definitions of randomness
inferredcites →https://doi.org/10.1119/1.19085openalex-snapshot
Entropy, information, and computation
inferredcites →https://doi.org/10.1119/1.1971557openalex-snapshot
Gibbs vs Boltzmann Entropies
inferredcites →https://doi.org/10.1145/321356.321363openalex-snapshot
On the Length of Programs for Computing Finite Binary Sequences
inferredcites →https://doi.org/10.1145/3578938openalex-snapshot
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
inferredcites →https://doi.org/10.3390/e26030252openalex-snapshot
To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review
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