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2020 – today
- 2024
[i10]Artem Vysogorets, Achintya Gopal:
Towards Efficient Active Learning in NLP via Pretrained Representations. CoRR abs/2402.15613 (2024)- [i9]Yuxin Liu, Jimin Lin, Achintya Gopal:
NeuralBeta: Estimating Beta Using Deep Learning. CoRR abs/2408.01387 (2024) - [i8]Achintya Gopal:
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities. CoRR abs/2408.01499 (2024) - 2023
- [c1]Ruslan Tepelyan
, Achintya Gopal:
Generative Machine Learning for Multivariate Equity Returns. ICAIF 2023: 159-166 - [i7]Rodrigo Castellon, Achintya Gopal, Brian Bloniarz, David Rosenberg:
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation. CoRR abs/2307.10430 (2023) - [i6]Ruslan Tepelyan, Achintya Gopal:
Generative Machine Learning for Multivariate Equity Returns. CoRR abs/2311.14735 (2023) - 2021
- [i5]You Han, Achintya Gopal, Liwen Ouyang, Aaron Key:
Estimation of Corporate Greenhouse Gas Emissions via Machine Learning. CoRR abs/2109.04318 (2021) - [i4]Achintya Gopal, Chunho Chang:
Discovering Supply Chain Links with Augmented Intelligence. CoRR abs/2111.01878 (2021) - [i3]Achintya Gopal:
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning. CoRR abs/2112.01477 (2021) - [i2]Achintya Gopal:
ELF: Exact-Lipschitz Based Universal Density Approximator Flow. CoRR abs/2112.06997 (2021) - 2020
- [i1]Achintya Gopal:
Quasi-Autoregressive Residual (QuAR) Flows. CoRR abs/2009.07419 (2020)
Coauthor Index
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