Models, Inference & Algorithms (MIA)
Please email mia-team@broadinstitute.org with a line of introduction to receive our weekly emails, including all relevant details for upcoming talks.
Schedule changes will be noted on the website and in MIAcast. MIA is now in person with a virtual option available:
9:00am Primer
10:00am Meeting
10:50am Discussion
MIA Talks Search
Date | Speaker | Title |
---|---|---|
Sep 20 |
|
Graph-based autoencoder integrates spatial transcriptomics with chromatin images and identifies joint biomarkers for Alzheimer’s disease |
Sep 20 |
|
Seurat v5, cross-modality mapping and large-scale clustering of single-cell data |
Oct 18 |
|
Theoretical background regarding GANs and Causal GAN |
Oct 18 |
|
GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks |
Oct 25 |
|
Towards Meaningful Pretrained Models for Biology |
Oct 25 |
|
Disentangling Meaningful Signal from Experimental Noise within Deep Learning Models |
Oct 25 |
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Meaningful choice/curation of pre-training data in alignment with a downstream task |
Nov 1 |
|
Diffusion models |
Nov 1 |
|
Bridging Biophysics and AI to Optimize Protein Design |
Nov 15 |
|
TBD |
Nov 29 |
|
TBD |
Nov 29 |
|
TBD |
Dec 6 |
|
TDB |