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Found 19 papers, 4 papers with code
Uncertainty-Aware Machine-Learning Framework for Predicting Dislocation Plasticity and Stress-Strain Response in FCC Alloys
Machine learning has significantly advanced the understanding and application of structural materials, with an increasing emphasis on integrating existing data and quantifying uncertainties in predictive modeling.
SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
The goal of traffic simulation is to augment a potentially limited amount of manually-driven miles that is available for testing and validation, with a much larger amount of simulated synthetic miles.
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation
To bridge this gap, we propose a data augmentation approach and introduce PersonaMathQA, a dataset derived from MATH and GSM8K, on which we train the PersonaMath models.
Investigating the Impact of Model Complexity in Large Language Models
Large Language Models (LLMs) based on the pre-trained fine-tuning paradigm have become pivotal in solving natural language processing tasks, consistently achieving state-of-the-art performance.
BandControlNet: Parallel Transformers-based Steerable Popular Music Generation with Fine-Grained Spatiotemporal Features
Subsequently, we release BandControlNet, a conditional model based on parallel Transformers, to tackle the multiple music sequences and generate high-quality music samples that are conditioned to the given spatiotemporal control features.
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
This study aims to address the pervasive challenge of quantifying uncertainty in large language models (LLMs) without logit-access.
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks
We introduce a novel Bayesian neural network-based architecture to estimate inter-rater uncertainty in medical image segmentation.
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model.
How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
noise terms into the conversation process, thereby constructing a structural causal model (SCM).
Asymptotic in a class of network models with an increasing sub-Gamma degree sequence
For the differential privacy under the sub-Gamma noise, we derive the asymptotic properties of a class of network models with binary values with a general link function.
WakaVT: A Sequential Variational Transformer for Waka Generation
To further explore the creative potential of natural language generation systems in Japanese poetry creation, we propose a novel Waka generation model, WakaVT, which automatically produces Waka poems given user-specified keywords.
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
This paper attempts to provide an overview of various composition tasks under different music generation levels, covering most of the currently popular music generation tasks using deep learning.
Multi-Messenger Gravitational Wave Searches with Pulsar Timing Arrays: Application to 3C66B Using the NANOGrav 11-year Data Set
Due to the observed periodicities present in the photometric and astrometric data of the source of the source, it has been theorized to contain a supermassive black hole binary.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars
We detail our observational methods and present a set of TOA measurements, based on "narrowband" analysis, in which many TOAs are calculated within narrow radio-frequency bands for data collected simultaneously across a wide bandwidth.
Time Series Analysis
High Energy Astrophysical Phenomena
Instrumentation and Methods for Astrophysics
Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning
At high latitudes, many cities adopt a centralized heating system to improve the energy generation efficiency and to reduce pollution.
MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Style
In this paper, we propose MG-VAE, a music generative model based on VAE (Variational Auto-Encoder) that is capable of capturing specific music style and generating novel tunes for Chinese folk songs (Min Ge) in a manipulatable way.
Music Generation
Multimedia
Sound
Audio and Speech Processing
The NANOGrav 11-year Data Set: High-precision timing of 45 Millisecond Pulsars
Most pulsars were observed with approximately monthly cadence, with six high--timing-precision pulsars observed weekly, and all were observed at widely separated frequencies at each observing epoch in order to fit for time-variable dispersion delays.
High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
Screening of Fungi for the Application of Self-Healing Concrete
Therefore, a screening of different species of fungi has been conducted in this study.
Interactions of Fungi with Concrete: Significant Importance for Bio-Based Self-Healing Concrete
The goal of this study is to explore a new self-healing concept in which fungi are used as a self-healing agent to promote calcium mineral precipitation to fill the cracks in concrete.
