22 citations · 67 across the 11 of their papers we have counts for
21 papers
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models
Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu +1
Scale the model, scale the data, scale the GPU farms is the reigning sentiment in the world of generative AI today. While model scaling has been extensively studied, data scaling a…
Physics Informed Neural Network for Dynamic Stress Prediction
Hamed Bolandi, Gautam Sreekumar, Xuyang Li +2
Structural failures are often caused by catastrophic events such as earthquakes and winds. As a result, it is crucial to predict dynamic stress distributions during highly disrupti…
Do learned representations respect causal relationships?
Lan Wang, Vishnu Naresh Boddeti
Data often has many semantic attributes that are causally associated with each other. But do attribute-specific learned representations of data also respect the same causal relatio…
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion
Rahul Dey, Vishnu Boddeti
Existing face completion solutions are primarily driven by end-to-end models that directly generate 2D completions of 2D masked faces. By having to implicitly account for geometric…
Adversarial Representation Learning With Closed-Form Solvers
Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti
Adversarial representation learning aims to learn data representations for a target task while removing unwanted sensitive information at the same time. Existing methods learn mode…
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan +1
We present a general learning-based solution for restoring images suffering from spatially-varying degradations. Prior approaches are typically degradation-specific and employ the…