Rasul, Kashif

13 publications

ICLRW 2025 Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong

NeurIPS 2025 TS-RAG: Retrieval-Augmented Generation Based Time Series Foundation Models Are Stronger Zero-Shot Forecaster Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song

TMLR 2025 Triple Preference Optimization: Achieving Better Alignment Using a Single Step Optimization Amir Saeidi, Shivanshu Verma, Kashif Rasul, Aswin Rrv, Chitta Baral

NeurIPSW 2024 Recurrent Interpolants for Probabilistic Time Series Prediction Yu Chen, Marin Biloš, Sarthak Mittal, Wei Deng, Kashif Rasul, Anderson Schneider

ICLR 2024 VQ-TR: Vector Quantized Attention for Time Series Forecasting Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka

NeurIPSW 2023 Lag-Llama: Towards Foundation Models for Time Series Forecasting Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Biloš, Hena Ghonia, Nadhir Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish

ICML 2023 Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

NeurIPSW 2023 Probabilistic Forecasting via Modern Hopfield Networks Kashif Rasul, Pablo Vicente, Anderson Schneider, Alexander März

ICML 2023 Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka

AISTATS 2023 Risk Bounds on Aleatoric Uncertainty Recovery Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka

NeurIPSW 2022 Modeling Temporal Data as Continuous Functions with Process Diffusion Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

ICML 2021 Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf

ICLR 2021 Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs M Bergmann, Roland Vollgraf