A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Recovering manifold geometry from geodesic intersections.
Machine learning competition predicts spacecraft collision risks.
No-collision maps improve manifold learning for image data.
Residual neural networks improve collision prediction in planetary simulations.
A new metric for uncertainty quantification using class collisions.
Bayesian deep learning predicts satellite collisions.
Study nonholonomic systems with collisions using variational principles.
Paper analyzes dynamics of nonholonomic systems with collisions using variational techniques.
Model forecasts motor vehicle collision rates with high accuracy.
We introduce a method for learning the dynamics of complex nonlinear systems based on deep generative models over temporal segments of states and actions. Unlike dynamics models that operate over individual discrete timesteps, we learn the distribution over future state trajectories conditioned on past state, past acti…
New algorithms estimate and test collision probability with near-optimal sample complexity.
Centrality, as a geometrical property of the collision, is crucial for the physical interpretation of nucleus-nucleus and proton-nucleus experimental data. However, it cannot be directly accessed in event-by-event data analysis. Common methods for centrality estimation in A-A and p-A collisions usually rely on a single…
One approach to designing decision making logic for an aircraft collision avoidance system frames the problem as a Markov decision process and optimizes the system using dynamic programming. The resulting collision avoidance strategy can be represented as a numeric table. This methodology has been used in the developme…
Reduces necessary conditions for collision avoidance on curved spaces.
New algorithm for multi-player bandits with collision-dependent rewards.
Study shows how transformers classify symbols without naming them, proving a margin-versus-collision criterion.
The paper addresses the Multiplayer Multi-Armed Bandit (MMAB) problem, where decision makers or players collaborate to maximize their cumulative reward. When several players select the same arm, a collision occurs and no reward is collected on this arm. Players involved in a collision are informed about this collis…
Algorithm reduces regret in multi-player bandits with unknown collision rewards.
An important application of intelligent vehicles is advance detection of dangerous events such as collisions. This problem is framed as a problem of optimal alarm choice given predictive models for vehicle location and motion. Techniques for real-time collision detection are surveyed and grouped into three classes: ran…
A new algorithm RESYNC for defenders against malicious attackers in multi-player bandits.
BayTiDe discovers time-delayed differential equations from noisy data.
TSMB handles time delays in multivariate time series data.
New algorithms tackle adversarial multi-player bandits with forced-collision communication.
New strategy achieves optimal regret without communication or collisions in multi-player bandit.
Unified approach detects traffic conflicts across various interactions.
Adapts Exp3 to adversarial bandits with delays and data.
We study multiplayer stochastic multi-armed bandit problems in which the players cannot communicate and if two or more players pull the same arm, a collision occurs and the involved players receive zero reward. We consider two feedback models: a model in which the players can observe whether a collision has occurred an…
The configuration manifold of a mechanical system consisting of two unconstrained rigid bodies in , , is a manifold with boundary (typically with singularities.) A complete description of the system requires boundary conditions that specify how orbits should be continued after collisions. A b…
The Kepler-Heisenberg problem is that of determining the motion of a planet around a sun in the Heisenberg group, thought of as a three-dimensional sub-Riemannian manifold. The sub-Riemannian Hamiltonian provides the kinetic energy, and the gravitational potential is given by the fundamental solution to the sub-Laplaci…
Study motion planning for points avoiding obstacles in a plane.
The decentralized stochastic multi-player multi-armed bandit (MP-MAB) problem, where the collision information is not available to the players, is studied in this paper. Building on the seminal work of Boursier and Perchet (2019), we propose error correction synchronization involving communication (EC-SIC), whose regre…
New algorithms ensure fair selection in combinatorial semi-bandit with unrestricted delays.
We construct and analyze symmetrized delay correlation matrices for empirical data sets for atmopheric and financial data to derive information about correlation between different entities of the time series over time. The information about correlations is obtained by comparing the results for the eigenvalue distributi…
New method estimates traffic congestion delays using statistical causality.
Reliable data quality monitoring is a key asset in delivering collision data suitable for physics analysis in any modern large-scale High Energy Physics experiment. This paper focuses on the use of artificial neural networks for supervised and semi-supervised problems related to the identification of anomalies in the d…
New algorithm reduces regret in delayed feedback generalised linear bandits.
A fast method learns plasma collision kernels from simulations, improving kinetic models.
Deep reinforcement learning provides a promising approach for vision-based control of real-world robots. However, the generalization of such models depends critically on the quantity and variety of data available for training. This data can be difficult to obtain for some types of robotic systems, such as fragile, smal…
The Big Data analytics are a logical analysis of very large scale datasets. The data analysis enhances an organization and improve the decision making process. In this article, we present Airline Delay Analysis and Prediction to analyze airline datasets with the combination of weather dataset. In this research work, we…
New algorithm reduces distributed optimization time with stochastic delays.
We consider the non-stochastic version of the (cooperative) multi-player multi-armed bandit problem. The model assumes no communication at all between the players, and furthermore when two (or more) players select the same action this results in a maximal loss. We prove the first -type regret guarantee for th…
New algorithm for multi-player bandits without needing lower bounds or scaling inversely.
Improved GRU model with weighted time-delay feedback for long-term dependencies.
Paper proposes GrokTransfer to eliminate delayed generalization in neural networks.
Pileup involves the contamination of the energy distribution arising from the primary collision of interest (leading vertex) by radiation from soft collisions (pileup). We develop a new technique for removing this contamination using machine learning and convolutional neural networks. The network takes as input the ene…
Predicting conversion rates (CVRs) in display advertising (e.g., predicting the proportion of users who purchase an item (i.e., a conversion) after its corresponding ad is clicked) is important when measuring the effects of ads shown to users and to understanding the interests of the users. There is generally a time de…
Deep RL mimics human driving for collision avoidance in self-driving cars.
Recent years have witnessed the surge of asynchronous parallel (async-parallel) iterative algorithms due to problems involving very large-scale data and a large number of decision variables. Because of asynchrony, the iterates are computed with outdated information, and the age of the outdated information, which we cal…