Visit the playlist to catch up on any recorded forums!
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