3 papers
cs.LG2026
FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives
Huaxi Huang, Meng Li, Zhengqing Gao +3
Reconstructing continuous flow fields from sparse surface-mounted sensors is central to aerodynamic design, flow control, and digital-twin instrumentation. Existing neural methods…
cs.AI2026
DART: Semantic Recoverability for Structured Tool Agents
Ke Yang, Panpan Li, Zonghan Wu +3
When a structured tool agent fails mid-execution, the runtime faces a dilemma: replaying the entire task is safe but wasteful, while restoring from a local checkpoint is efficient…
cs.CV2026
Rethinking Point Clouds as Sequences: A Causal Next-Token Predictive Learning Framework
Yumeng Yao, Jingzhi Dong, Haowen Gu +4
With the rapid progress of multimodal foundation models and predictive pre-training, an important open question is how to equip 3D point clouds with a pre-training paradigm that is…