ML+X Forum Archive

Visit the ML+X Forum playlist to catch up on any recorded forums!

ML+X Forum Playlist

Clustering of genomic sequences of mycoviruses using deep learning

Theme: Large Language Models (LLMs) in Action
Presenter: Rohan Sonthalia
Date: 11/7/2023


Spurring self-improvement and intrinsic motivation using LLMs and reinforcement learning

Theme: Large Language Models (LLMs) in Action
Presenter: Michael Roytman
Date: 11/7/2023


Computational methods for comparative time clocks in early development and tissue regeneration

Theme: Time Series Analysis (Comparative)
Presenter: Peng Jiang
Date: 10/10/2023


Controlled differential equations on long sequences via non-standard wavelets

Theme: Time Series Analysis (Forecasting)
Presenter: Sourav Pal
Date: 10/10/2023


Multimodal learning and analysis for understanding single-cell functional genomics in brains and brain diseases

Theme: Multimodal Learning
Presenter: Daifeng Wang
Date: 9/19/2023


Transforming healthcare: AI-enhanced disease quantification with vision-language models

Theme: Multimodal Learning
Presenter: Zach Huemann
Date: 9/19/2023


The benefits of early fusion: deeply integrated audio-visual representation learning

Theme: Multimodal Learning
Presenter: Pedro Morgado
Date: 9/19/2023


Artificial evolution of a fluorescent protein technology using large language models

Theme: Large Language Models for Protein Engineering
Presenter: Mike Killoran
Date: 5/2/2023


An interactive discussion on large language model applications in research

Theme: Large Language Models for Protein Engineering
Presenter: Chris Endemann
Date: 5/2/2023


Geometric deep learning for molecules and biological networks

Theme: Representations of Learning
Presenter: Daniel McNeela
Date: 4/11/2023


Characterizing the building blocks of human perceptual similarity in abstract drawings using deep neural networks

Theme: Representations of Learning
Presenter: Kushin Mukherjee
Date: 4/11/2023


Using text analysis to examine news from post-coup Myanmar

Theme: Text Analysis
Presenter: Khine Thant Su
Date: 3/7/2023


Using transformers and graph ML to study Twitter users’ beliefs about COVID-19 vaccination

Theme: Text Analysis
Presenter: Sean Yun-Shiuan Chuang
Date: 3/7/2023


Locating and analyzing the texture/shape bias in machine and human vision

Theme: Bias in ML
Presenter: Kesong Cao
Date: 12/6/2022


What’s fair?

Theme: Bias in ML
Presenter: Mariah Knowles
Date: 12/6/2022


Bias in machine learning: the good, the bad, and the ugly

Theme: Bias in ML
Presenter: Chris Endemann
Date: 12/6/2022


Comparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks

Theme: Unsupervised
Presenter: Zhiwei Song
Date: 11/1/2022


JAMIE: joint variational autoencoders for multi-modal imputation and embedding

Theme: Unsupervised
Presenter: Noah Cohen
Date: 11/1/2022


Computer vision for animal monitoring: challenges of a real-world application

Theme: Computer Vision
Presenter: Joao Dorea
Date: 10/4/2022


Enhancing NASA/NOAA satellite imagery cloud/aerosol detection via ML

Theme: Computer Vision
Presenter: Steve Dutcher
Date: 10/4/2022


Discovery of negative reversion set: solving low recall problem in rule based qualitative coding using LSTM neural network

Theme: Supervised Learning
Presenter: Zhiqiang Cai
Date: 9/13/2022


Applications of machine learning models for disease and yield prediction in soil microbiome studies

Theme: Supervised Learning
Presenter: Rosa Aghdam
Date: 9/13/2022


Modeling microbial community dynamics with applications in experimental design

Theme: RNNS & Active Learning
Presenter: Jaron Thompson
Date: 5/3/2022


Pre-training on molecular simulations improves protein sequence-function modeling

Theme: Transformer Models
Presenter: Sam Gelman
Date: 5/3/2022


CHTC’s GPU Lab: ML beyond a desktop

Theme: Computing Resources
Presenter: Christina Koch
Date: 5/3/2022


Overview & demo of transformer models

Theme: Transformers
Presenter: Chris Endemann
Date: 4/12/2022


ActionFormer: a transformer-based model for video event localization

Theme: Transformers
Presenter: Yin Li
Date: 4/12/2022


Multilingual NLP: cross-lingual transfer learning and application

Theme: NLP
Presenter: Junjie Hu
Date: 3/8/2022


Progress note understanding: a suite of tasks for building clinical natural language models

Theme: NLP
Presenter: Yanjun Gao
Date: 3/8/2022


English and Twi machine translation with HuggingFace

Theme: NLP
Presenter: Zhaoyi Zhang
Date: 3/8/2022


Ratings and tankings: using deep learning when class labels have a natural order

Theme: Deep Learning
Presenter: Sebastian Raschka
Date: 2/8/2022


Identifying infected patients using semi-supervised and transfer learning

Theme: Deep Learning
Presenter: Azi Bashiri
Date: 2/8/2022


Machine learning methods for artifact detection in electrodermal activity data

Theme: Classical Learning Algorithms
Presenter: Hunter Abraham
Date: 12/14/2021


New feature selection methods with applications to brain EEG data and non-linear temporal signal processing

Theme: High-Dimensional Data & Clustering
Presenter: Chunming Zhang
Date: 12/14/2021


Machine learning predictions of metallic glass forming ability

Theme: Ensemble Methods
Presenter: Benjamin Afflerbach
Date: 12/14/2021


Predicting the purpose of GitHub repositories to facilitate data discovery and reuse

Theme: NLP & Clustering
Presenter: Simon Goring
Date: 11/9/2021


Design and application of a machine learning pipeline to assist public health contact tracers during the COVID-19 pandemic

Theme: NLP
Presenter: Iain McConnell
Date: 11/9/2021


Multiscale topic visualization in the microbiome

Theme: Clustering & High-Dim Data
Presenter: Kris Sankaran
Date: 11/9/2021


Individualized treatment effect prediction

Theme: Comparison Across Methods
Presenter: Alex Spicer
Date: 11/9/2021