activity
20192026
most citedDifferentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Synthetic Persona Pretraining: Alignment from Token Zero

Julian Minder, Viktor Moskvoretskii, Raghav Singhal +12

As language-model-based AI is increasingly deployed in autonomous settings, aligning its goals and values with those of humans becomes critical. Today, alignment, and the assistant…

cs.CV2026

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes

Kartik Bali, Roland Aydin

Identifying and grounding precise geometric entities, such as edges, planar regions, and curved surfaces within 3D objects, is foundational to computer-aided design (CAD), robotic…

cs.GR2026

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement

Kartik Bali, Mahish K. Guru, Christian J Cyron +1

Adaptive volumetric finite element meshing traditionally requires iterative PDE solvers or heavily supervised, data-driven surrogates trained on large-scale simulation data. This w…

physics.comp-ph2024★ 2 cited

Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Bjoern List, Li-Wei Chen, Kartik Bali +1

Unrolling training trajectories over time strongly influences the inference accuracy of neural network-augmented physics simulators. We analyze this in three variants of training n…

physics.flu-dyn2019

Numerical Analysis of Flow Past an Oscillating Circular Cylinder using Arbitrary Lagrangian Eulerian Consistent Flux Reconstruction Scheme

Kartik Bali, K Supradeepan

This paper proposes an Arbitrary Lagrangian-Eulerian incompressible finite volume scheme based on Consistent Flux Reconstruction method (ALE-CFR) on deforming two-dimensional unstr…