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Avik Pal

4 accepted papers

2025

Compositional Entailment Learning for Hyperbolic Vision-Language Models

ICLR 2025oral

Image-text representation learning forms a cornerstone in vision-language models, where pairs of images and textual descriptions are contrastively aligned in a shared embedding space. Since visual and textual concepts are naturally hierarchical, recent work has shown that hyperbolic space can serve…

2023

Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!

ICML 2023poster

Neural Differential Equations have become an important modeling framework due to their ability to adapt to new problems automatically. Training a neural differential equation is effectively a search over a space of plausible dynamical systems. Controlling the computational cost for these models is d…

2021

Emergent Road Rules In Multi-Agent Driving Environments

ICLR 2021poster

For autonomous vehicles to safely share the road with human drivers, autonomous vehicles must abide by specific "road rules" that human drivers have agreed to follow. "Road rules" include rules that drivers are required to follow by law – such as the requirement that vehicles stop at red lights – as…

2021

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics

ICML 2021spotlight

Democratization of machine learning requires architectures that automatically adapt to new problems. Neural Differential Equations (NDEs) have emerged as a popular modeling framework by removing the need for ML practitioners to choose the number of layers in a recurrent model. While we can control t…