13 papers
Revisiting Shape and Texture Reliance with Category-Separability-Calibrated Suppression
Ning Jiang, Tianyi Luo, Zhengyong Huang +1
Feature-suppression evaluations infer model reliance on shape or texture from the accuracy loss caused by attenuating each type of information. Such losses, however, conflate featu…
CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems
Jiale Gong, Pengzhan Jin, Dongyang Kuang +2
Learning dissipative dynamics from discrete observations is essential for reliable long-horizon prediction and physically meaningful parameter identification. For linearly damped H…
Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark
Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh +18
We review human evaluation practices in automatic, speech-driven 3D gesture generation and find a lack of standardisation and frequent use of flawed experimental setups. This leads…
Covariance Matrix Estimation for High-Dimensional Interval-Valued Data with Positive Definiteness
Wan Tian, Wenhao Cui, Rui Zhang +3
In the realm of high-dimensional data analysis, the estimation of covariance matrices is a fundamental task, and this holds true for interval-valued data as well. However, there is…
Observation of Superfluidity and Meissner Effect of Composite Bosons in GaAs Quantum Hall System
Yuanze Li, Renfei Wang, Jiahao Chen +7
The quantum Hall effect (QHE) is theoretically understood as a superfluid condensate of composite bosons (CBs) -- bound states of electrons and magnetic flux quanta. While dissipat…
Topological Surface Charge Detection via Active Capacitive Compensation: A Pathway to the 4D Quantum Hall Effect
Yuanze Li, Renfei Wang, Yifan Zhang +6
The topological magnetoelectric effect (TME) in three-dimensional topological insulators (TIs), described by , serves as a condensed-matt…