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.
Federated learning improves keyboard suggestions without user data.
Shared Keyboard design improves phase I clinical trials by borrowing information across doses.
Federated learning framework extended for personalizing global models.
While invasively recorded brain activity is known to provide detailed information on motor commands, it is an open question at what level of detail information about positions of body parts can be decoded from non-invasively acquired signals. In this work it is shown that index finger positions can be differentiated fr…
A new transformer model corrects diacritics and typos in multiple languages.
Surveying how to use unlabeled data in federated learning.
The partially observable hidden Markov model is an extension of the hidden Markov Model in which the hidden state is conditioned on an independent Markov chain. This structure is motivated by the presence of discrete metadata, such as an event type, that may partially reveal the hidden state but itself emanates from a …
We consider the problem of learning to play first-person shooter (FPS) video games using raw screen images as observations and keyboard inputs as actions. The high-dimensionality of the observations in this type of applications leads to prohibitive needs of training data for model-free methods, such as the deep Q-netwo…
Active authentication is the problem of continuously verifying the identity of a person based on behavioral aspects of their interaction with a computing device. In this study, we collect and analyze behavioral biometrics data from 200subjects, each using their personal Android mobile device for a period of at least 30…
Dreamer 4 learns Minecraft tasks from videos alone.
BCI system improves word selection efficiency using sequential best-arm identification.
Deep reinforcement learning improves medical test suggestions.
SessionPath improves category suggestions in type-ahead search.
We describe a set of Gaussian Process based approaches that can be used to solve non-linear Ordinary Differential Equations. We suggest an explicit probabilistic solver and two implicit methods, one analogous to Picard iteration and the other to gradient matching. All methods have greater accuracy than previously sugge…
This paper proposes the use of wavelet methods to estimate U.S. core inflation. It explains wavelet methods and suggests they are ideally suited to this task. Comparisons are made with traditional CPI-based and regression-based measures for their performance in following trend inflation and predicting future inflation.…
Efficient algorithm for mobile health provides timely physical activity suggestions.
Diversifies reply suggestions for IM systems using M-CVAE.
We suggest using the max-norm as a convex surrogate constraint for clustering. We show how this yields a better exact cluster recovery guarantee than previously suggested nuclear-norm relaxation, and study the effectiveness of our method, and other related convex relaxations, compared to other clustering approaches.
Empirical evidence suggests link polynomials can detect causality in spacetimes.
Experiment shows cognitive biases impact human-AI collaboration, highlighting the need for diverse evaluator samples.
Proposes a new query autocompletion method that maximizes retrieval performance.
We suggest an empirical model of investment strategy returns which elucidates the importance of non-Gaussian features, such as time-varying volatility, asymmetry and fat tails, in explaining the level of expected returns. Estimating the model on the (former) Lehman Brothers Hedge Fund Index data, we demonstrate that th…
The self-similar analysis of time series, suggested earlier by the authors, is applied to the description of market crises. The main attention is payed to the October 1929, 1987 and 1997 stock market crises, which can be successfully treated by the suggested approach. The analogy between market crashes and critical phe…
We extend the well-known Borromean and Brunnian rings to new higher order versions. Then we suggest an extension of the connection between Efimov states in cold gases and Borromean and Brunnian rings to these new higher order links. This gives rise to a whole new hierarchy of possible states with Efimov states at the b…
Comment on recent paper suggesting adversarially trained BNNs are more robust, finds no strong evidence.
It has been suggested in 1999 that a certain volume growth condition for geodesically complete Riemannian manifolds might imply that the manifold is stochastically complete. This is motivated by a large class of examples and by a known analogous criterion for recurrence of Brownian motion. We show that the suggested im…
Automated suggestions help train technicians diagnose incidents faster.
New methods estimate heterogeneous causal effects at various levels.
Develops a method for generating understandable and attainable counterfactual explanations for tabular data.
Effective theory for Transformer initialization improves model performance.
Numerical computations suggest that each point on a certain optimized shape called the ideal trefoil is in contact with two other points. We consider sequences of such contact points, such that each point is in contact with its predecessor and call it a billiard. Our numerics suggest that a particular billiard on the i…
The study of the relation between the Weierstrass inducing formulae for constant mean curvature surfaces and the completely integrable euclidean nonlinear sigma-model suggests a connection among integrable sigma -models in a background and other type of surfaces. We show how a generalization of the Weierstrass represen…
Study suggests using information flow measures to target interventions in neural networks.
New approach uses deep learning to control SAI for climate mitigation.
System suggests clinical concepts in real-time for faster note creation.
Recent developments in the understanding of supersymmetric Yang-Mills theory in four dimensions suggest a new point of view about Donaldson theory of four manifolds: instead of defining four-manifold invariants by counting instantons, one can define equivalent four-manifold invariants by counting solution…
Study finds 'happiness' search data predicts stock returns, suggesting utility needs impact firm performance.
This study analyzes cryptocurrency market crashes using complex network analysis.
Advances in fractional analysis suggest a new way for the physics understanding of Riemann's conjecture. It asserts that, if s is a complex number, the non trivial zeros of zeta function in the gap [0,1], is characterized by . This conjecture can be understood as a consequence of 1/2-order fractional differential chara…
Study reveals XAI methods fail in neuroimaging, suggesting domain-specific adaptation.
The following is an amalgamation of four preprints and some computer programs which together represent the current state of our investigations of higher order links. This investigation was motivated by questions discussed and raised in the first author's paper "New States of Matter Suggested by New Topological Structur…
New findings suggest deep generative models can misclassify outliers, requiring new evaluation methods.
Study improves understanding of what makes machine learning explanations human-interpretable.
Improved regression analysis using Padé approximants with new residuals and regularization.
We extend Relative Robust Portfolio Optimisation models to allow portfolios to optimise their distance to a set of benchmarks. Portfolio managers are also given the option of computing regret in a way which is more in line with market practices than other approaches suggested in the literature. In addition, they are gi…
The paper suggests new topological lower bounds for the number of zeros of closed 1-forms within a given cohomology class. The main new technical tool is the deformation complex, which allows to pass to a singular limit and reduce the original problem with a closed 1-form to a traditional problem with a Morse function.…
AI framework uses multi-omics data to personalize cancer treatment suggestions.
Wedge product on deRham complex of a Riemannian manifold can be pulled back to via explicit homotopy, constructed using Green's operator, to give higher product structures. We prove Fukaya's conjecture which suggests that Witten deformation of these higher product structures have semiclassical limits as op…