9 papers
Adaptive Volumetric Mechanical Property Fields Invariant to Resolution
Rishit Dagli, Donglai Xiang, Vismay Modi +4
Accurate mechanical properties (or materials) Young's modulus (), Poisson's ratio () and density () are essential for reliable physics simulation of digital worlds, but…
PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf
Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner +17
Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because revi…
STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations
Rishit Dagli, Abir Harrasse, Luke Zhang +4
Training Data Attribution (TDA) seeks to trace a model's predictions back to its training data. The gold standard for TDA relies on causal interventions, observing how a model chan…
FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
Donglai Xiang, Vismay Modi, Rishit Dagli +5
We present a novel formulation for mesh-free, reduced-order simulation of deformable hyperelastic objects. Existing work in reduced-order elastodynamic simulation represents the in…
RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
Jenai Xuning Yang, Xuning Yang, Rishit Dagli +6
The pursuit of general-purpose robotics has yielded impressive foundation models, yet simulation-based benchmarking remains a bottleneck due to rapid performance saturation and a l…
VoMP: Predicting Volumetric Mechanical Property Fields
Rishit Dagli, Donglai Xiang, Vismay Modi +7
Physical simulation relies on spatially-varying mechanical properties, often laboriously hand-crafted. VoMP is a feed-forward method trained to predict Young's modulus (), Poiss…