activity
20232026
most citedTowards Causal Representations of Climate Model Data

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD2026

2-Dimensional spectral gating for denoising bioacoustics recordings

Julien Boussard, Mélisande Teng, Sulagna Saha +1

Isolating vocalizations from noise in bioacoustics recordings is a prerequisite to many ecological analyses, including species identification, animal communication understanding, a…

cs.LG2026

Learning Hierarchical Causal Representations of the Effects of Forcings on Temperature in Climate Models

Shan Zhao, Ilija Trajkovic, Julia Kaltenborn +4

Machine learning (ML) emulators provide a fast and cost-effective method to simulate climate change scenarios after being trained on Earth System Models projections. However, the b…

cs.SD2025

Identifying birdsong syllables without labelled data

Mélisande Teng, Julien Boussard, David Rolnick +1

Identifying sequences of syllables within birdsongs is key to tackling a wide array of challenges, including bird individual identification and better understanding of animal commu…

cs.LG2025★ 1 cited

Causal Climate Emulation with Bayesian Filtering

Sebastian Hickman, Ilija Trajkovic, Julia Kaltenborn +6

Traditional models of climate change use complex systems of coupled equations to simulate physical processes across the Earth system. These simulations are highly computationally e…

cs.LG2023★ 2 cited

Towards Causal Representations of Climate Model Data

Julien Boussard, Chandni Nagda, Julia Kaltenborn +5

Climate models, such as Earth system models (ESMs), are crucial for simulating future climate change based on projected Shared Socioeconomic Pathways (SSP) greenhouse gas emissions…