Brian Matejek
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View article: Spatio-Temporal Pruning for Compressed Spiking Large Language Models
Spatio-Temporal Pruning for Compressed Spiking Large Language Models Open
Large Language Models (LLMs) present significant challenges for deployment in energy-constrained environments due to their large model sizes and high inference latency. Spiking Neural Networks (SNNs), inspired by the sparse event-driven ne…
View article: Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding Open
We introduce a novel approach for calibrating uncertainty quantification (UQ) tailored for multi-modal large language models (LLMs). Existing state-of-the-art UQ methods rely on consistency among multiple responses generated by the LLM on …
View article: Melanoma Detection with Uncertainty Quantification
Melanoma Detection with Uncertainty Quantification Open
Early detection of melanoma is crucial for improving survival rates. Current detection tools often utilize data-driven machine learning methods but often overlook the full integration of multiple datasets. We combine publicly available dat…
View article: Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI Open
In this paper, we present a dynamic semantic clustering approach inspired by the Chinese Restaurant Process, aimed at addressing uncertainty in the inference of Large Language Models (LLMs). We quantify uncertainty of an LLM on a given que…
View article: Resource-Constrained Heuristic for Max-SAT
Resource-Constrained Heuristic for Max-SAT Open
We propose a resource-constrained heuristic for instances of Max-SAT that iteratively decomposes a larger problem into smaller subcomponents that can be solved by optimized solvers and hardware. The unconstrained outer loop maintains the s…
View article: Direct Amortized Likelihood Ratio Estimation
Direct Amortized Likelihood Ratio Estimation Open
We introduce a new amortized likelihood ratio estimator for likelihood-free simulation-based inference (SBI). Our estimator is simple to train and estimates the likelihood ratio using a single forward pass of the neural estimator. Our appr…
View article: Direct Amortized Likelihood Ratio Estimation
Direct Amortized Likelihood Ratio Estimation Open
We introduce a new amortized likelihood ratio estimator for likelihood-free simulation-based inference (SBI). Our estimator is simple to train and estimates the likelihood ratio using a single forward pass of the neural estimator. Our appr…
View article: Edge-colored directed subgraph enumeration on the connectome
Edge-colored directed subgraph enumeration on the connectome Open
View article: AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions Open
Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries. However, due to the complex morphology, an accurate reconstruction of cor…
View article: Two Stream Active Query Suggestion for Active Learning in Connectomics
Two Stream Active Query Suggestion for Active Learning in Connectomics Open
View article: Scalable Interactive Visualization for Connectomics
Scalable Interactive Visualization for Connectomics Open
Connectomics has recently begun to image brain tissue at nanometer resolution, which produces petabytes of data. This data must be aligned, labeled, proofread, and formed into graphs, and each step of this process requires visualization fo…
View article: Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration Open
The field of connectomics has recently produced neuron wiring diagrams from relatively large brain regions from multiple animals. Most of these neural reconstructions were computed from isotropic (e.g., FIBSEM) or near isotropic (e.g., SBE…