activity
20182026
most citedCausal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing

69 citations · 181 across the 26 of their papers we have counts for

collaborators

26 papers

cs.LG2026

Context-Informed Ship Trajectory Prediction via Conditional Attention

Yuan Guan, Chandler Squires, Timothy Hu +1

Long-term ship trajectory prediction is a fundamental capability for maritime safety and autonomous navigation. While recent Transformer-based architectures have improved forecasti…

cs.LG2026

Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate

Duncan Soiffer, Chandler Squires, Yuan Guan +2

The task of compositional generation involves using a conditional generative model, trained only on a subset of the possible conditions, to produce samples from compositionally-def…

cs.LG2026

Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation

Soheun Yi, Yizhou Lu, Chandler Squires +1

Reliable generalization in conditional latent variable models requires understanding both identifiability and extrapolation: how observed variation across attributes determines lat…

cs.LG2026

A Unifying Framework for Unsupervised Concept Extraction

Chandler Squires, Pradeep Ravikumar

Techniques for concept extraction, such as sparse autoencoders and transcoders, aim to extract high-level symbolic concepts from low-level nonsymbolic representations. When these e…

cs.LG2024★ 1 cited

The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications

Philippe Brouillard, Chandler Squires, Jonas Wahl +4

Causal discovery aims to automatically uncover causal relationships from data, a capability with significant potential across many scientific disciplines. However, its real-world a…

math.ST2024

Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set

Davin Choo, Chandler Squires, Arnab Bhattacharyya +1

Accurate estimates of causal effects play a key role in decision-making across applications such as healthcare, economics, and operations. In the absence of randomized experiments,…