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Mathematics
Autonomous Agents
Notes of Artificial Intelligence and Machine Learning.
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Mathematics
Freedom Preetham
in
Autonomous Agents
Sep 18
Teaching Machines To Think Like Mathematicians
Reinforcement Learning in Mathematical Proofs: Aligning
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3
Freedom Preetham
in
Autonomous Agents
Aug 29
Fast Weights in Artificial Intelligence
A Mathematical Exploration of Rapid Adaptation
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2
Freedom Preetham
in
Autonomous Agents
Aug 23
The Mathematical Essence of Loss Function Design in Deep Neural Networks
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63
Freedom Preetham
in
Autonomous Agents
Aug 16
Unraveling the Mathematical Frameworks Driving Foundational AI
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23
Freedom Preetham
in
Autonomous Agents
Aug 13
Limitations of LLMs in Combinatorial Optimization
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10
Freedom Preetham
in
Autonomous Agents
Aug 8
Mamba vs. Weighted Choquard: Comparative Analysis of Non-local Influence Models
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100
Freedom Preetham
in
Autonomous Agents
Aug 8
Part 5 — Integrating the Weighted Choquard Equation with Fourier Neural Operators
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Freedom Preetham
in
Autonomous Agents
Aug 7
Part 4 — Non Local Interactions in AGI through Weighted Choquard Equation
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12
Freedom Preetham
in
Autonomous Agents
Jul 13
Part 2 : SciML — A Mathematical account of PDE Solvers, Discoverers and Operator Learning
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106
Freedom Preetham
in
Autonomous Agents
Jul 2
Rethinking Memory in AI: Fractional Laplacians and Long-Range Interactions
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