github.com/lvhaohua/react-candee
lvhaohua/react-candee
A react framework that encapsulates the redux. (⭐ 30)
arxiv.org/abs/1408.5265v2
A Bayesian Ensemble Regression Framework on the Angry Birds Game
An ensemble inference mechanism is proposed on the Angry Birds domain. It is based on an efficient tree structure for encoding and representing game screenshots, where it exploits its enhanced modeling capability. This has the advantage to establish...
arxiv.org/abs/1709.02277v2
Carrier-envelope phase controlled isolated attosecond pulses in the nm wavelengt…
A proposal for a novel source of isolated attosecond XUV -- soft X-ray pulses with a well controlled carrier-envelope phase difference (CEP) is presented in the framework of nonlinear Thomson-backscattering. Based on the analytic solution of the Newt...
arxiv.org/abs/2509.05736v1
Stabilizing RED using the Koopman Operator
The widely used RED (Regularization-by-Denoising) framework uses pretrained denoisers as implicit regularizers for model-based reconstruction. Although RED generally yields high-fidelity reconstructions, the use of black-box denoisers can sometimes l...
arxiv.org/abs/2504.17080v2
Geometric Formulation of Unified Force-Impedance Control on SE(3) for Robotic Ma…
In this paper, we present an impedance control framework on the SE(3) manifold, which enables force tracking while guaranteeing passivity. Building upon the unified force-impedance control (UFIC) and our previous work on geometric impedance control (...
github.com/CARecSys/CAPRI
CARecSys/CAPRI
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework (⭐ 8)
arxiv.org/abs/2306.11395v1
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework
Point-of-Interest (POI ) recommendation systems have gained popularity for their unique ability to suggest geographical destinations with the incorporation of contextual information such as time, location, and user-item interaction. Existing recommen...
github.com/CapriRecSys/CAPRI
CapriRecSys/CAPRI
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework (⭐ 20)
arxiv.org/abs/2507.17420v1
CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimizatio…
In computed tomography (CT), achieving high image quality while minimizing radiation exposure remains a key clinical challenge. This paper presents CAPRI-CT, a novel causal-aware deep learning framework for Causal Analysis and Predictive Reasoning fo...
arxiv.org/abs/2509.04456v1
Mentalic Net: Development of RAG-based Conversational AI and Evaluation Framewor…
The emergence of large language models (LLMs) has unlocked boundless possibilities, along with significant challenges. In response, we developed a mental health support chatbot designed to augment professional healthcare, with a strong emphasis on sa...
github.com/hexops/vecty
hexops/vecty
Vecty lets you build responsive and dynamic web frontends in Go using WebAssembly, competing with modern web frameworks like React & VueJS. (⭐ 2903)
arxiv.org/abs/2508.06001v1
KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Trainin…
We present KnapFormer, an efficient and versatile framework to combine workload balancing and sequence parallelism in distributed training of Diffusion Transformers (DiT). KnapFormer builds on the insight that strong synergy exists between sequence p...
arxiv.org/abs/1907.12412v2
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing. Current pre-training procedu...
arxiv.org/abs/2112.12731v1
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Lang…
Pre-trained language models have achieved state-of-the-art results in various Natural Language Processing (NLP) tasks. GPT-3 has shown that scaling up pre-trained language models can further exploit their enormous potential. A unified framework named...
arxiv.org/abs/2305.09916v2
Updated T2K measurements of muon neutrino and antineutrino disappearance using 3…
Muon neutrino and antineutrino disappearance probabilities are identical in the standard three-flavor neutrino oscillation framework, but CPT violation and non-standard interactions can violate this symmetry. In this work we report the measurements o...
arxiv.org/abs/q-bio/0409027v2
Characterizing large scale base composition structures of genomes
Intermittent density fluctuations of nucleotide molecules (adenine, guanine, cytosine and thymine) along DNA sequences are studied in the framework of a hierarchical structure (HS) model originally proposed for the study of fully developed turbulen...
arxiv.org/abs/2107.05180v2
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Re…
Real estate appraisal refers to the process of developing an unbiased opinion for real property's market value, which plays a vital role in decision-making for various players in the marketplace (e.g., real estate agents, appraisers, lenders, and buy...
arxiv.org/abs/2405.07836v4
Forecasting with Hyper-Trees
We introduce Hyper-Trees as a novel framework for modeling time series data using gradient boosted trees. Unlike conventional tree-based approaches that forecast time series directly, Hyper-Trees learn the parameters of a target time series model, su...
arxiv.org/abs/2209.06677v1
Virtual Inertia Scheduling for Power Systems with High Penetration of Inverter-b…
This paper proposes a new concept called virtual inertia scheduling (VIS) to efficiently handle the high penetration of inverter-based resources (IBRs). VIS is an inertia management framework that targets security-constrained and economy-oriented ine...
arxiv.org/abs/2512.03025v3
LORE: A Large Generative Model for Search Relevance
Achievement. We introduce LORE, a systematic framework for Large Generative Model-based relevance in e-commerce search. Deployed and iterated over three years, LORE achieves a cumulative +27\% improvement in online GoodRate metrics. This report share...