6 papers
From Probabilities to Decisions: Search and Multi-Teacher Distillation with Jev
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Probability-only models, which TypeSafe calls System One models, return calibrated probabilities for fixed choices in milliseconds and generate no text. We study one such model, Je…
Event Cameras for Melt-Pool Monitoring in Additive Manufacturing: A Benchmark and a Cross-Machine Transfer Analysis
Mohamad Yazan Sadoun, Sarah Sharif, Yingtao Liu +2
Melt-pool monitoring is central to qualifying metal additive manufacturing (AM), yet no public event-camera benchmark exists for this domain. Event cameras report per-pixel brightn…
Physics-informed generative AI for semiconductor manufacturing: Enforcing hard physical constraints in generative models by construction
Yaser Mike Banad, Sarah Sharif
Generative models are increasingly used to propose designs, data, and control actions for physical systems, yet many such systems are governed by hard physical constraints rather t…
Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Deploying event-camera object detectors is constrained by per-frame labeling requirements and GPU compute demands. This work introduces three local spike-timing-dependent plasticit…
A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
Reza Ahmadvand, Sara Safura Sharif, Yaser Mike Banad
Hippocampal neurons exhibit precise phase locking to network oscillations, but the computational principle governing this temporal precision is still unclear. Neural information is…
SparseVoxelDet: Fully Sparse Voxel Networks for Efficient Event-Based Drone Detection
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Event cameras excel at detecting small, fast drones, but today's detectors give away their key advantage: they convert the sparse event stream into dense grids and pay dense-proces…