3 citations · 3 across the 13 of their papers we have counts for
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cs.LG2025
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
Ziyu Lu, Anna J. Li, Alexander E. Ladd +5
Neural activity forecasting is central to understanding neural systems and enabling closed-loop control. While deep learning has recently advanced the state-of-the-art in the time…
cs.LG2025
ProDS: Preference-oriented Data Selection for Instruction Tuning
Wenya Guo, Zhengkun Zhang, Xumeng Liu +5
Instruction data selection aims to identify a high-quality subset from the training set that matches or exceeds the performance of the full dataset on target tasks. Existing method…
cs.LG2023★ 3 cited
Attention for Causal Relationship Discovery from Biological Neural Dynamics
Ziyu Lu, Anika Tabassum, Shruti Kulkarni +4
This paper explores the potential of the transformer models for learning Granger causality in networks with complex nonlinear dynamics at every node, as in neurobiological and biop…