13 citations · 25 across the 11 of their papers we have counts for
11 papers
Confounder-Aware Feature Correction for Single-Cell Batch Integration
Calvin McCarter
Batch integration is a central preprocessing step in single-cell genomics, where datasets collected across experiments, donors, and protocols must be combined despite pervasive tec…
How to make the most of your masked language model for protein engineering
Calvin McCarter, Nick Bhattacharya, Sebastian W. Ober +1
A plethora of protein language models have been released in recent years. Yet comparatively little work has addressed how to best sample from them to optimize desired biological pr…
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
Alan Nawzad Amin, Nate Gruver, Yilun Kuang +6
To build effective therapeutics, biologists iteratively mutate antibody sequences to improve binding and stability. Proposed mutations can be informed by previous measurements or b…
Unmasking Trees for Tabular Data
Calvin McCarter
Despite much work on advanced deep learning and generative modeling techniques for tabular data generation and imputation, traditional methods have continued to win on imputation b…
The Kernel Density Integral Transformation
Calvin McCarter
Feature preprocessing continues to play a critical role when applying machine learning and statistical methods to tabular data. In this paper, we propose the use of the kernel dens…
Inverse distance weighting attention
Calvin McCarter
We report the effects of replacing the scaled dot-product (within softmax) attention with the negative-log of Euclidean distance. This form of attention simplifies to inverse dista…
Look-ups are not (yet) all you need for deep learning inference
Calvin McCarter, Nicholas Dronen
Fast approximations to matrix multiplication have the potential to dramatically reduce the cost of neural network inference. Recent work on approximate matrix multiplication propos…
Adaptive Block Floating-Point for Analog Deep Learning Hardware
Ayon Basumallik, Darius Bunandar, Nicholas Dronen +6
Analog mixed-signal (AMS) devices promise faster, more energy-efficient deep neural network (DNN) inference than their digital counterparts. However, recent studies show that DNNs…
Towards Backwards-Compatible Data with Confounded Domain Adaptation
Calvin McCarter
Most current domain adaptation methods address either covariate shift or label shift, but are not applicable where they occur simultaneously and are confounded with each other. Dom…
If Loud Aliens Explain Human Earliness, Quiet Aliens Are Also Rare
Robin Hanson, Daniel Martin, Calvin McCarter +1
If life on Earth had to achieve n 'hard steps' to reach humanity's level, then the chance of this event rose as time to the n-th power. Integrating this over habitable star formati…
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
Calvin McCarter, Seyoung Kim
This paper addresses the problem of scalable optimization for L1-regularized conditional Gaussian graphical models. Conditional Gaussian graphical models generalize the well-known…