· ai
[Paper] Physically-Based Simulation of Automotive LiDAR
We present an analytic model for simulating automotive time-of-flight (ToF) LiDAR that includes blooming, echo pulse width, and ambient light, along with steps ...
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[Paper] On the Bayes Inconsistency of Disagreement Discrepancy Surrogates
Deep neural networks often fail when deployed in real-world contexts due to distribution shift, a critical barrier to building safe and reliable systems. An eme...
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[Paper] A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition
Facial recognition has become a widely used method for authentication and identification, with applications for secure access and locating missing persons. Its ...
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[Paper] World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty
Recent advances in generative video models have led to significant breakthroughs in high-fidelity video synthesis, specifically in controllable video generation...
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[Paper] BalLOT: Balanced $k$-means clustering with optimal transport
We consider the fundamental problem of balanced k-means clustering. In particular, we introduce an optimal transport approach to alternating minimization called...
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[Paper] To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
How many mistakes do published AI papers contain? Peer-reviewed publications form the foundation upon which new research and knowledge are built. Errors that pe...
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[Paper] NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction
Orthognathic surgery is a crucial intervention for correcting dentofacial skeletal deformities to enhance occlusal functionality and facial aesthetics. Accurate...
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[Paper] Natural Language Summarization Enables Multi-Repository Bug Localization by LLMs in Microservice Architectures
Bug localization in multi-repository microservice architectures is challenging due to the semantic gap between natural language bug reports and code, LLM contex...
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[Paper] EventQueues: Autodifferentiable spike event queues for brain simulation on AI accelerators
Spiking neural networks (SNNs), central to computational neuroscience and neuromorphic machine learning (ML), require efficient simulation and gradient-based tr...
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The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor
Cursor is great at writing code but not as good when it comes to design The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appe...
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[Paper] Bootstrapping Fuzzers for Compilers of Low-Resource Language Dialects Using Language Models
Modern extensible compiler frameworks-such as MLIR-enable rapid creation of domain-specific language dialects. This flexibility, however, makes correctness hard...
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[Paper] Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework
Medical question-answering (QA) systems can benefit from advances in large language models (LLMs), but directly applying LLMs to the clinical domain poses chall...