The Daily Gauss
Exploring Hidden Gems in Data Science & AI
Abstract
- Involves time series data ๐
- Focus on game theory ๐ฎ
- Improves AI interpretability ๐ง
- Robustness certification in machine learning.
- Improving multi-armed bandits problem.
- Optimizing molecular designs effectively.
- Tensor spectra approximations ๐
- Baryonic feedback analysis ๐
- Bayesian dark energy study ๐ฌ
- Examining urn model cutoffs.
- Studying lattice rigidity.
- Analyzing Anderson model behavior.
arXiv AI
Latest updates extracted from source
Querying Labeled Time Series Data with Scenario Programs
This paper discusses a method for querying labeled time series data using scenario programs.
Nov 13 2025, 07:00 PM ETยท 407h ago
Regular Games -- an Automata-Based General Game Playing Language
This paper presents an automata-based language for general game playing.
Nov 13 2025, 07:00 PM ETยท 407h ago
DenoGrad: Deep Gradient Denoising Framework for Enhancing the Performance of Interpretable AI Models
A framework aimed at enhancing interpretable AI models through denoising.
Nov 13 2025, 07:00 PM ETยท 407h ago
arXiv Machine Learning
Latest updates extracted from source
Tight Robustness Certification through the Convex Hull of $ _0$ Attacks
Addresses robustness in machine learning certifications.
Nov 13 2025, 07:00 PM ETยท 407h ago
Algorithm Design and Stronger Guarantees for the Improving Multi-Armed Bandits Problem
The paper enhances algorithms for multi-armed bandits.
Nov 13 2025, 07:00 PM ETยท 407h ago
Pretrained Joint Predictions for Scalable Batch Bayesian Optimization of Molecular Designs
This study focuses on Bayesian optimization techniques.
Nov 13 2025, 07:00 PM ETยท 407h ago
arXiv Cosmology
Latest updates extracted from source
Analytical approximations for curved primordial tensor spectra
This study presents analytical methods for curved primordial tensor spectra.
Nov 13 2025, 07:00 PM ETยท 407h ago
Baryonic Feedback across Halo Mass: Impact on the Matter Power Spectrum
The paper explores the influence of baryonic feedback on the matter power spectrum.
Nov 13 2025, 07:00 PM ETยท 407h ago
A Bayesian Perspective on Evidence for Evolving Dark Energy
This work evaluates evolving dark energy through a Bayesian lens.
Nov 13 2025, 07:00 PM ETยท 407h ago
arXiv Probability
Latest updates extracted from source
Cutoff for generalised Bernoulli-Laplace urn models
This paper investigates cutoff phenomena in generalized urn models.
Nov 13 2025, 07:00 PM ETยท 407h ago
On the Rigidity of Projected Perturbed Lattices
This research discusses the rigidity aspects of projected perturbed lattices.
Nov 13 2025, 07:00 PM ETยท 407h ago
The regular tree Anderson model at low disorder
The authors explore the regular tree Anderson model regarding its low disorder limits.
Nov 13 2025, 07:00 PM ETยท 407h ago
arXiv Machine Learning
Latest updates extracted from source
Continuum Dropout for Neural Differential Equations
Explores a novel dropout technique for differential equations.
Nov 13 2025, 07:00 PM ETยท 407h ago
Operator Models for Continuous-Time Offline Reinforcement Learning
Presents models for reinforcement learning in continuous time.
Nov 13 2025, 07:00 PM ETยท 407h ago
Theory and computation for structured variational inference
Addresses computational techniques for structured inference.
Nov 13 2025, 07:00 PM ETยท 407h ago
USGS Earthquakes
Latest earthquake events from USGS
M 1.6 โ 7 km NE of Coso Junction, CA
Depth 4.79 km
Mag 1.64.8 km36.092, -117.891
Nov 14 2025, 11:54 AM ETยท 390h ago
M 1.9 โ 30 km NNE of Cordova, Alaska
Depth 39.9 km
Mag 1.939.9 km60.797, -145.562
Nov 14 2025, 11:44 AM ETยท 390h ago
M 0.8 โ 10 km NW of The Geysers, CA
Depth 1.99000000953674 km
Mag 0.82 km38.839, -122.839
Nov 14 2025, 11:33 AM ETยท 390h ago
Conclusion
<strong>This week, we explored the depths of data and discovery:</strong><br>โข Unleashed game theory with new automata frameworks ๐ฎ<br>โข Enhanced AI interpretability through denoising techniques ๐ง <br>โข Optimized molecular designs using cutting-edge Bayesian methods ๐ฌ<br>Stay curious and keep diving into these fascinating topics, as we unravel more layers in the world of AI, machine learning, and cosmology! ๐
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Named after Carl Friedrich Gauss โข Mathematician โข Physicist โข Polymath
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