Academy notes
Articles and updates from SoloQuant Academy.
Tag: foundation-model
Goswami, Szafer, Choudhry, Cai, Li and Dubrawski (CMU Auton Lab, ICML 2024; arXiv:2402.03885) release open TS foundation models (40M / 125M / 385M). Masked patch reconstruction on the Time Series Pile; one encoder for forecast, classify, impute, anomaly. Hugging Face AutonLab/MOMENT-1-large. Plain-language intro. Not investment advice.
Goswami, Szafer, Choudhry, Cai, Li and Dubrawski (CMU Auton Lab, ICML 2024; arXiv:2402.03885) release open TS foundation models (40M / 125M / 385M). Masked patch reconstruction on the Time Series Pile; one encoder for forecast, classify, impute, anomaly. Hugging Face AutonLab/MOMENT-1-large. Plain-language intro. Not investment advice.
Goswami, Szafer, Choudhry, Cai, Li and Dubrawski (CMU Auton Lab, ICML 2024; arXiv:2402.03885) release open TS foundation models (40M / 125M / 385M). Masked patch reconstruction on the Time Series Pile; one encoder for forecast, classify, impute, anomaly. Hugging Face AutonLab/MOMENT-1-large. Plain-language intro. Not investment advice.
Ansari, Stella, Turkmen et al. (AWS AI Labs, 2024; arXiv:2403.07815) treat forecasting as language modeling: mean-scale, uniform bins (~4096), T5 20M–710M, cross-entropy. Pretrain on public + TSMixup + KernelSynth GPs. Strong in-domain and competitive zero-shot on 42 datasets. Code: amazon-science/chronos-forecasting. Plain-language intro. Not investment advice.
