Expectation Programming. - Tim Reichelt; Adam Golinski; Luke Ong; Tom Rainforth (CoRR, 2021)

Rethinking Variational Inference for Probabilistic Programs with Stochastic Support. - Tim Reichelt; Luke Ong; Thomas Rainforth (NeurIPS, 2022)

Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently. - Tim Reichelt; Adam Golinski; Luke Ong; Tom Rainforth (UAI, 2022)

Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support. - Tim Reichelt; Luke Ong; Tom Rainforth (AISTATS, 2024)

Lossy Neural Compression for Geospatial Analytics: A Review. - Carlos Gomes; Isabelle Wittmann; Damien Robert 002; Johannes Jakubik; Tim Reichelt; Michele Martone; Stefano Maurogiovanni; Rikard Vinge; Jonas Hurst; Erik Scheurer; Rocco Sedona; Thomas Brunschwiler; et al. (CoRR, 2025)