Clinton J. Wang
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View article: EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges
EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges Open
As language models master existing reasoning benchmarks, we need new challenges to evaluate their cognitive frontiers. Puzzle-solving events are rich repositories of challenging multimodal problems that test a wide range of advanced reason…
View article: Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis
Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis Open
Current volumetric biomedical foundation models struggle to generalize as public 3D datasets are small and do not cover the broad diversity of medical procedures, conditions, anatomical regions, and imaging protocols. We address this by cr…
View article: Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series
Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series Open
We present a method for fast biomedical image atlas construction using neural fields. Atlases are key to biomedical image analysis tasks, yet conventional and deep network estimation methods remain time-intensive. In this preliminary work,…
View article: Discretization Invariant Networks for Learning Maps between Neural Fields
Discretization Invariant Networks for Learning Maps between Neural Fields Open
With the emergence of powerful representations of continuous data in the form of neural fields, there is a need for discretization invariant learning: an approach for learning maps between functions on continuous domains without being sens…