Publications

(2026). BISTRO: A Foundational Model for Unconditional and Conditional Forecasting of Macroeconomic Time Series. BIS Working Papers, No 1337.
(2026). Temporal Variational Implicit Neural Representations. In Transactions on Machine Learning Research (TMLR).
(2025). A Foundational Model For Conditional Forecasting Macroeconomic Variables. In Conference on Nontraditional Data, Machine Learning and Natural Language Processing in Macroeconomics (ECONDAT) 2025.
(2025). Hyper-Transforming Latent Diffusion Models. In International Conference on Machine Learning (ICML) 2025.
(2024). From Laboratory to Everyday Life: Personalized Stress Prediction via Smartwatches. In Machine Learning for Life and Material Science, ML4LMS Workshop. ICML'24.
(2024). E-ProTran: Efficient Probabilistic Transformers for Forecasting. In Workshop on Structured Probabilistic Inference & Generative Modeling. ICML'24.
(2023). Variational Mixture of HyperGenerators for Learning Distributions Over Functions. In ICML.
(2023). Label-Free Identification of Exosomes using Raman Spectroscopy and Machine Learning. In Small.
(2022). Chemotherapy Response Prediction with Diffuser Elapser Network. In Scientific Reports.
(2021). Analysis of ODE2VAE with Examples. In Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021).