DUCKQUANT / THE QUANT & AI DIRECTORY
1,058 resources, ranked by in-directory PageRank
Publication: Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5. Published Aug 25, 2025.
Publication: Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in Finance. Published Mar 7, 2025.
Publication: Controllable Financial Market Generation with Diffusion Guided Meta Agent. Published Aug 23, 2024.
Publication: Forecasting implied volatility surface with generative diffusion models. Published Nov 10, 2025.
Publication: Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks. Published Sep 15, 2023.
Publication: Latent Flow Matching for Arbitrage-Aware Implied Volatility Surface Generation. Published Aug 1, 2026.
Publication: Universal approximation of credit portfolio losses using Restricted Boltzmann Machines. Published Feb 22, 2022.
Publication: Generative modeling for time series via Schr{ö}dinger bridge. Published Apr 11, 2023.
Publication: Generating Realistic Stock Market Order Streams. Published Jun 7, 2020.
Publication: Decoupled Probabilistic Forecasting and Arbitrage-Aware Refinement of Implied Volatility Surfaces. Published Jul 31, 2026.
Publication: QuantEval: A Benchmark for Financial Quantitative Tasks in Large Language Models. Published Jan 13, 2026.
Official code repository for paper "VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones".
Open source code of the paper: "OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain"
Code for the paper "Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance" arXiv:2601.13770
Here is the code of the paper titled "Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM", which
Information for investors and journalists, plus our purpose, which we call inclusive capitalism
Publication: staq -- A full-stack quantum processing toolkit. Published Dec 12, 2019.
Publication: A Language and Hardware Independent Approach to Quantum-Classical Computing. Published Oct 4, 2017.
Discover our diverse portfolio of research journals dedicated to advancing science with integrity and rigor.
Publication: QUBO formulations for the graph isomorphism problem and related problems. Published Nov 2017.
Publication: A Practical Quantum Instruction Set Architecture. Published Aug 11, 2016.
Publication: Circuit-centric quantum classifiers. Published Apr 2, 2018.
Publication: Hierarchical quantum classifiers. Published Apr 10, 2018.
Publication: Quantum Perceptron Models. Published Feb 15, 2016.
Publication: Robust data encodings for quantum classifiers. Published Mar 3, 2020.
Publication: Structural risk minimization for quantum linear classifiers. Published May 12, 2021.
Publication: Quantum Statistical Inference. Published Dec 12, 2018.
Publication: Quantum classification of the MNIST dataset with Slow Feature Analysis. Published May 22, 2018.
Publication: Quantum Variational Autoencoder. Published Feb 15, 2018.
Publication: Quantum autoencoders via quantum adders with genetic algorithms. Published Sep 21, 2017.
Publication: Quantum Sparse Support Vector Machines. Published Feb 5, 2019.
Publication: Entangling Quantum Generative Adversarial Networks. Published Apr 30, 2021.
Publication: Quantum generative adversarial networks. Published Apr 23, 2018.
Publication: Unitary quantum perceptron as efficient universal approximator. Published Jan 3, 2018.
Publication: Quantum Boltzmann Machine. Published Jan 8, 2016.
Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers…
