Lag-llama: Towards foundation models for time series forecasting K Rasul, A Ashok, AR Williams, A Khorasani, G Adamopoulos, ...
arXiv preprint arXiv:2310.08278, 2023
18 2023 Modeling temporal data as continuous functions with process diffusion M Biloš, K Rasul, A Schneider, Y Nevmyvaka, S Günnemann
13 2022 Modeling temporal data as continuous functions with stochastic process diffusion M Biloš, K Rasul, A Schneider, Y Nevmyvaka, S Günnemann
International Conference on Machine Learning, 2452-2470, 2023
12 2023 Provably convergent Schrödinger bridge with applications to probabilistic time series imputation Y Chen, W Deng, S Fang, F Li, NT Yang, Y Zhang, K Rasul, S Zhe, ...
International Conference on Machine Learning, 4485-4513, 2023
12 2023 Heterogeneous labor skills, the median voter and labor taxes F Piguillem, AL Schneider
Review of Economic Dynamics 16 (2), 332-349, 2013
6 2013 Coordination, Efficiency and Policy Discretion F Piguillem, A Schneider
EIEF Working Papers Series, 2013
4 2013 A note on redistribution, optimal fiscal policy and corner solutions F Piguillem, AL Schneider
Mimeo, at https://sites. google. com/site/welcometofacundoswebsite/Home/research, 2007
4 2007 Empowering Time Series Analysis with Large Language Models: A Survey Y Jiang, Z Pan, X Zhang, S Garg, A Schneider, Y Nevmyvaka, D Song
arXiv preprint arXiv:2402.03182, 2024
3 2024 In-or out-of-distribution detection via dual divergence estimation S Garg, S Dutta, M Dalirrooyfard, A Schneider, Y Nevmyvaka
Uncertainty in Artificial Intelligence, 635-646, 2023
3 2023 Risk Bounds on Aleatoric Uncertainty Recovery Y Zhang, J Lin, F Li, Y Adler, K Rasul, A Schneider, Y Nevmyvaka
International Conference on Artificial Intelligence and Statistics, 6015-6036, 2023
3 2023 Inference and sampling of point processes from diffusion excursions A Hasan, Y Chen, Y Ng, M Abdelghani, A Schneider, V Tarokh
Uncertainty in Artificial Intelligence, 839-848, 2023
2 2023 Information theoretic clustering via divergence maximization among clusters S Garg, M Dalirrooyfard, A Schneider, Y Adler, Y Nevmyvaka, Y Chen, ...
Uncertainty in Artificial Intelligence, 624-634, 2023
1 2023 Automl decathlon: Diverse tasks, modern methods, and efficiency at scale N Roberts, S Guo, C Xu, A Talwalkar, D Lander, L Tao, L Cai, S Niu, ...
NeurIPS 2022 Competition Track, 151-170, 2022
1 2022 Heterogeneous Labor Skills, The Median Voter and Labor Taxes F Piguillem, AL Schneider
EIEF Working Papers Series, 2009
1 2009 Heterogeneous Beliefs and Optimal Taxation F Piguillem, AL Schneider
mimeo, 2008
1 2008 Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI S Garg, A Schneider, A Raj, K Rasul, Y Nevmyvaka, S Gopal, ...
arXiv preprint arXiv:2404.07377, 2024
2024 Z Pan, Y Jiang, S Garg, A Schneider, Y Nevmyvaka, D Song
arXiv preprint arXiv:2403.05798, 2024
2024 Structural Knowledge Informed Continual Multivariate Time Series Forecasting Z Pan, Y Jiang, D Song, S Garg, K Rasul, A Schneider, Y Nevmyvaka
arXiv preprint arXiv:2402.12722, 2024
2024 VQ-TR: Vector Quantized Attention for Time Series Forecasting K Rasul, A Bennett, P Vicente, U Gupta, H Ghonia, A Schneider, ...
The Twelfth International Conference on Learning Representations, 2023
2023 Learning to Abstain From Uninformative Data Y Zhang, S Zheng, M Dalirrooyfard, P Wu, A Schneider, A Raj, ...
arXiv preprint arXiv:2309.14240, 2023
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