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Found 11 papers, 2 papers with code
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions
We provide experimental results that demonstrate the numerical superiority of our algorithms over the existing method and other black-box optimistic optimization methods.
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
We then use a large language model to paraphrase prompt templates that convey the specific tasks to be conducted on each image, and through this process, we create a multi-modal and multi-task training dataset comprising input and output images along with annotated instructions.
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
Real-world graphs naturally exhibit hierarchical or cyclical structures that are unfit for the typical Euclidean space.
Mixed-Curvature Transformers for Graph Representation Learning papersreview
Real-world graphs naturally exhibit hierarchical or cyclical structures that are unfit for the typical Euclidean space.
DisCoHead: Audio-and-Video-Driven Talking Head Generation by Disentangled Control of Head Pose and Facial Expressions
We enhance the efficiency of DisCoHead by integrating a dense motion estimator and the encoder of a generator which are originally separate modules.
Reinforcement Learning Portfolio Manager Framework with Monte Carlo Simulation
Second, Monte Carlo simulation data are used to increase training data complexity to prevent model overfitting.
ETF Portfolio Construction via Neural Network trained on Financial Statement Data
Therefore, we use the data of individual stocks to train our neural networks to predict the future performance of individual stocks and use these predictions and the portfolio deposit file (PDF) to construct a portfolio of ETFs.
Shai-am: A Machine Learning Platform for Investment Strategies
The finance industry has adopted machine learning (ML) as a form of quantitative research to support better investment decisions, yet there are several challenges often overlooked in practice.
KoDF: A Large-scale Korean DeepFake Detection Dataset
A variety of effective face-swap and face-reenactment methods have been publicized in recent years, democratizing the face synthesis technology to a great extent.
Precision Nucleon Charges and Form Factors Using 2+1-flavor Lattice QCD
Similarly, we find evidence that the $N\pi\pi $ excited state contributes to the correlation functions with the vector current, consistent with the vector meson dominance model.
High Energy Physics - Lattice High Energy Physics - Phenomenology
Nucleon Momentum Fraction, Helicity and Transversity from 2+1-flavor Lattice QCD
Our final results, in the $\overline{\rm MS}$ scheme at 2 GeV, are $\langle x \rangle_{u-d} = 0. 160(16)(20)$, $\langle x \rangle_{\Delta u-\Delta d} = 0. 192(13)(20)$ and $\langle x \rangle_{\delta u-\delta d} = 0. 215(17)(20)$, where the first error is the overall analysis uncertainty assuming excited-state contributions have been removed, and the second is an additional systematic uncertainty due to possible residual excited-state contributions.
High Energy Physics - Lattice
