Quasi-Autoregressive Residual (QuAR) Flows. - Achintya Gopal (CoRR, 2020)

Estimation of Corporate Greenhouse Gas Emissions via Machine Learning. - You Han; Achintya Gopal; Liwen Ouyang; Aaron Key (CoRR, 2021)

Discovering Supply Chain Links with Augmented Intelligence. - Achintya Gopal; Chunho Chang (CoRR, 2021)

Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning. - Achintya Gopal (CoRR, 2021)

ELF: Exact-Lipschitz Based Universal Density Approximator Flow. - Achintya Gopal (CoRR, 2021)

Generative Machine Learning for Multivariate Equity Returns. - Ruslan Tepelyan; Achintya Gopal (ICAIF, 2023)

DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation. - Rodrigo Castellon; Achintya Gopal; Brian Bloniarz; David Rosenberg (CoRR, 2023)

NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities. - Achintya Gopal (ICAIF, 2024)

Towards Efficient Active Learning in NLP via Pretrained Representations. - Artem Vysogorets; Achintya Gopal (CoRR, 2024)

NeuralBeta: Estimating Beta Using Deep Learning. - Yuxin Liu; Jimin Lin; Achintya Gopal (CoRR, 2024)

Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation. - Achintya Gopal (CoRR, 2024)

Causal discovery from nonstationary time series. - Agathe Sadeghi; Achintya Gopal; Mohammad Fesanghary (Int. J. Data Sci. Anal., 2025)

DELPHYNE: A Pre-Trained Model for General and Financial Time Series. - Xueying Ding; Aakriti Mittal; Achintya Gopal (CoRR, 2025)

Efficient Causal Discovery for Autoregressive Time Series. - Mohammad Fesanghary; Achintya Gopal (CoRR, 2025)