Valence Labs Courses

Learning Stochastic Dynamics from Snapshots through Regularized Unbalanced Optimal Transport

Discover how to reconstruct continuous stochastic dynamics from sparse time-resolved snapshots using deep learning and regularized unbalanced optimal transport methods.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

A Long-Context RNA Foundation Model for Predicting Transcriptome Architecture

Explore LoRNASH, an RNA foundation model predicting transcriptome architecture from DNA sequences, revolutionizing genomics and RNA biotechnology through machine learning.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Derivative-Free Guidance in Continuous and Discrete Diffusion Models

Explore derivative-free guidance in diffusion models for optimizing AI-generated designs while preserving naturalness. Learn about a new iterative sampling method integrating soft value functions into pre-trained models.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Fine-tuning Flow and Diffusion Generative Models

Explore reward fine-tuning for dynamical generative models through stochastic optimal control, featuring a novel Adjoint Matching algorithm for improved consistency and realism.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for language models using Twisted Sequential Monte Carlo, enhancing LLM capabilities and safety measures.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Geometric Deep Learning Framework for De Novo Genome Assembly

Explore a novel geometric deep learning framework for de novo genome assembly, enhancing path identification in complex assembly graphs for improved genomic sequence reconstruction.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

An Open MetaGenomic Corpus for Mixed-Modality Genomic Language Modeling

Explore the Open MetaGenomic corpus for genomic language modeling, featuring 3.1T base pairs and 3.3B protein coding sequences. Learn about mixed-modality approaches and their impact on AI for drug discovery.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure

Explore protein ML representations, focusing on joint sequence-structure modeling. Learn about CHEAP embeddings and HPCT architecture for compact, flexible protein representations.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

Discrete Flow Matching for High-Dimensional Discrete Data Generation

Explore Discrete Flow Matching for generating high-dimensional discrete data. Learn about probability paths, sampling techniques, and improved generative perplexity in AI applications.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

Phenomics in Drug Discovery: Microscopy and Machine Learning - Day 4

Explore phenomics in drug discovery through microscopy and machine learning techniques with expert Anne Carpenter.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Binding Affinity Prediction with Machine Learning-Based Docking - Lab 2

Explore ML-based docking techniques for predicting binding affinity in drug discovery, featuring insights from experts Stephan Thaler and Cristian Gabellini.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Binding Affinity Prediction with ML-Based Docking - Lab 2

Explore ML-based docking for binding affinity prediction in drug discovery, featuring insights from experts Stephan Thaler and Cristian Gabellini.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Protein Folding and Design - Day 5

Explore protein folding and design techniques with Alex Tong, delving into advanced machine learning applications for drug discovery and structural biology.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Target Deconvolution Explanation - Lab 4

Explore target deconvolution techniques in drug discovery through hands-on lab exercises led by experts Ali Denton and Kristina Ulicna.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

Exploring Molecular Space and Active Learning in Drug Discovery

Explore molecular space and active learning techniques for drug discovery with AI pioneer Yoshua Bengio's insights from the 2024 ML Summer School at Mila.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video