Search Results for author: Chaitanya Ekanadham

Found 6 papers, 1 papers with code

Is Cosine-Similarity of Embeddings Really About Similarity?

no code implementations8 Mar 2024 Harald Steck, Chaitanya Ekanadham, Nathan Kallus

Cosine-similarity is the cosine of the angle between two vectors, or equivalently the dot product between their normalizations.

Semantic Similarity Semantic Textual Similarity

T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System

no code implementations14 Feb 2017 Chaitanya Ekanadham, Yan Karklin

We develop T-SKIRT: a temporal, structured-knowledge, IRT-based method for predicting student responses online.

Hierarchical spike coding of sound

no code implementations NeurIPS 2012 Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli

We develop a probabilistic generative model for representing acoustic event structure at multiple scales via a two-stage hierarchy.

Denoising

A blind sparse deconvolution method for neural spike identification

no code implementations NeurIPS 2011 Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli

Most current methods are based on clustering, which requires substantial human supervision and produces systematic errors by failing to properly handle temporally overlapping spikes.

Clustering

Sparse deep belief net model for visual area V2

no code implementations NeurIPS 2007 Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng

This suggests that our sparse variant of deep belief networks holds promise for modeling more higher-order features.

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