https://openreview.net/forum?id=ApudXGKwIer&referrer=%5Bthe%20profile%20of%20Piotr%20A%20Sokol%5D(%2Fprofile%3Fid%3D~Piotr_A_Sokol2)
Information Geometry of Orthogonal Initializations and Training | OpenReview
Recently mean field theory has been successfully used to analyze properties of wide, random neural networks. It gave rise to a prescriptive theory for...
information geometryorthogonaltrainingopenreview
https://www.caltech.edu/campus-life-events/calendar/information-geometry-and-physics-seminar-17
Information, Geometry, and Physics Seminar - www.caltech.edu
Toward a Control Theory of LLMs
information geometryphysicsseminarwwwcaltech
https://www.caltech.edu/campus-life-events/calendar/information-geometry-and-physics-seminar-8
Information, Geometry, and Physics Seminar - www.caltech.edu
Rigorous results about entropies in QFT
information geometryphysicsseminarwwwcaltech
https://arxiv.org/abs/1207.6736
[1207.6736] Information geometry and sufficient statistics
Abstract page for arXiv paper 1207.6736: Information geometry and sufficient statistics
information geometry12076736sufficientstatistics
https://arxiv.org/abs/cond-mat/0401092
[cond-mat/0401092] Information Geometry and Phase Transitions
Abstract page for arXiv paper cond-mat/0401092: Information Geometry and Phase Transitions
information geometrycondphasetransitions
https://arxiv.org/abs/2502.00168
[2502.00168] Supervised Quadratic Feature Analysis: Information Geometry Approach for...
Abstract page for arXiv paper 2502.00168: Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction
information geometry250200168supervisedquadratic
https://www.preprints.org/manuscript/202408.2120
Cartan-Schouten Metrics for Information Geometry and Machine Learning[v1] | Preprints.org
We study Cartan-Schouten metrics, explore invariant dual connections, and propose them as models for Information Geometry. Based on the underlying Riemannian...
for information
https://openreview.net/forum?id=rkg1ngrFPr
Information Geometry of Orthogonal Initializations and Training | OpenReview
nearly isometric DNN initializations imply low parameter space curvature, and a lower condition number, but that's not always great
information geometryorthogonaltrainingopenreview
https://www.caltech.edu/campus-life-events/calendar/information-geometry-and-physics-seminar-32
Information, Geometry, and Physics Seminar - www.caltech.edu
Quantum Black Hole Entropy from a Localization Integral
information geometryphysicsseminarwwwcaltech
https://www.caltech.edu/campus-life-events/calendar/information-geometry-and-physics-seminar-11
Information, Geometry, and Physics Seminar - www.caltech.edu
Higher Information: The untold topological secrets of measures and states
information geometryphysicsseminarwwwcaltech
https://openreview.net/forum?id=3wU2UX0voE
The Information Geometry of Unsupervised Reinforcement Learning | OpenReview
How can a reinforcement learning (RL) agent prepare to solve downstream tasks if those tasks are not known a priori? One approach is unsupervised skill...
the informationreinforcement learninggeometryunsupervisedopenreview