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Found 18 papers, 2 papers with code
Geometric Parameter Estimations of Perovskite Solar Cells Based on Optical Simulations
This paper presents a non-invasive approach to estimate the layer thicknesses of perovskite solar cells.
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction
On the EndoNeRF dataset, FEG achieves superior performance (SSIM of 0. 97, PSNR of 39. 08, and LPIPS of 0. 03) compared to leading methods.
From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
Discrete tokenizers have emerged as indispensable components in modern machine learning systems, particularly within the context of autoregressive modeling and large language models (LLMs).
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
The advancement of large language models has intensified the need to modernize enterprise applications and migrate legacy systems to secure, versatile languages.
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
Large Language Models have advanced automated software development, however, it remains a challenge to correctly infer dependencies, namely, identifying the internal components and external packages required for a repository to successfully run.
SweetTokenizer: Semantic-Aware Spatial-Temporal Tokenizer for Compact Visual Discretization
SweetTokenizer achieves comparable video reconstruction fidelity with only \textbf{25\%} of the tokens used in previous state-of-the-art video tokenizers, and boost video generation results by \textbf{32. 9\%} w. r. t gFVD.
Evaluating Language Models for Efficient Code Generation
We introduce Differential Performance Evaluation (DPE), a framework designed to reliably evaluate Large Language Models (LLMs) for efficient code generation.
Large Language Model Agent in Financial Trading: A Survey
In this survey, we provide a comprehensive review of the current research on using LLMs as agents in financial trading.
FastHDRNet: A new efficient method for SDR-to-HDR Translation
Modern displays nowadays possess the capability to render video content with a high dynamic range (HDR) and an extensive color gamut . However, the majority of available resources are still in standard dynamic range (SDR).
A cry for help: Early detection of brain injury in newborns
Since the 1960s, neonatal clinicians have known that newborns suffering from certain neurological conditions exhibit altered crying patterns such as the high-pitched cry in birth asphyxia.
Tight Memory-Regret Lower Bounds for Streaming Bandits
We establish the tight worst-case regret lower bound of $\Omega \left( (TB)^{\alpha} K^{1-\alpha}\right), \alpha = 2^{B} / (2^{B+1}-1)$ for any algorithm with a time horizon $T$, number of arms $K$, and number of passes $B$.
Self-supervised learning for infant cry analysis
In this paper, we explore self-supervised learning (SSL) for analyzing a first-of-its-kind database of cry recordings containing clinical indications of more than a thousand newborns.
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions
Explicit engineering of reward functions for given environments has been a major hindrance to reinforcement learning methods.
A General Framework on Enhancing Portfolio Management with Reinforcement Learning
Portfolio management is the art and science in fiance that concerns continuous reallocation of funds and assets across financial instruments to meet the desired returns to risk profile.
SCG: Spotting Coordinated Groups in Social Media
Recent events have led to a burgeoning awareness on the misuse of social media sites to affect political events, sway public opinion, and confuse the voters.
Avoidance Learning Using Observational Reinforcement Learning
We define avoidance learning as the process of optimizing the agent's reward while avoiding dangerous behaviors given by a demonstrator.
Anomaly Detection with Joint Representation Learning of Content and Connection
Social media sites are becoming a key factor in politics.
Equivariant Entity-Relationship Networks
In this paper, we propose the Equivariant Entity-Relationship Network (EERN), which is a Multilayer Perceptron equivariant to the symmetry transformations of the Entity-Relationship model.
