activity
20212026
most citedDiscovering State Variables Hidden in Experimental Data

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation

Ishaan Preetam Chandratreya, David Charatan, Basile Van Hoorick +4

Video generative models have become increasingly powerful, but long-range consistency remains challenging to achieve because even a few dozen frames require impractically long tran…

cs.LG2023

SURFSUP: Learning Fluid Simulation for Novel Surfaces

Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager +2

Modeling the mechanics of fluid in complex scenes is vital to applications in design, graphics, and robotics. Learning-based methods provide fast and differentiable fluid simulator…

cs.CV2022★ 1 cited

Task Bias in Vision-Language Models

Sachit Menon, Ishaan Preetam Chandratreya, Carl Vondrick

Incidental supervision from language has become a popular approach for learning generic visual representations that can be prompted to perform many recognition tasks in computer vi…

cs.CV2022

There is a Time and Place for Reasoning Beyond the Image

Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya +2

Images are often more significant than only the pixels to human eyes, as we can infer, associate, and reason with contextual information from other sources to establish a more comp…

math.DS2021★ 6 cited

Discovering State Variables Hidden in Experimental Data

Boyuan Chen, Kuang Huang, Sunand Raghupathi +3

All physical laws are described as relationships between state variables that give a complete and non-redundant description of the relevant system dynamics. However, despite the pr…