Bas Peters

18 papers Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Space Inference via Paired Autoencoders. CoRR Emma Hart, Bas Peters, Julianne Chung, Matthias Chung
2025	J	`jnl`	Good Things Come in Pairs: Paired Autoencoders for Inverse Problems. CoRR Matthias Chung, Bas Peters, Michael Solomon
2024	J	`jnl`	Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2024	J	`jnl`	InvertibleNetworks.jl: A Julia package for scalable normalizing flows. J. Open Source Softw. Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
2024	J	`jnl`	Paired Autoencoders for Inverse Problems. CoRR Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
2024	J	`jnl`	Paired autoencoders for likelihood-free estimation in inverse problems. Mach. Learn. Sci. Technol. Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
2023	J	`jnl`	CQnet: convex-geometric interpretation and constraining neural-network trajectories. CoRR Bas Peters
2023	J	`jnl`	InvertibleNetworks.jl: A Julia package for scalable normalizing flows. CoRR Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
2020	J	`jnl`	Deep connections between learning from limited labels & physical parameter estimation - inspiration for regularization. CoRR Bas Peters
2020	J	`jnl`	Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2020	J	`jnl`	Point-to-set distance functions for weakly supervised segmentation. CoRR Bas Peters
2019	J	`jnl`	Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems. CoRR Bas Peters, Felix J. Herrmann
2019	J	`jnl`	Automatic classification of geologic units in seismic images using partially interpreted examples. CoRR Bas Peters, Justin Granek, Eldad Haber
2019	J	`jnl`	Fully Hyperbolic Convolutional Neural Networks. CoRR Keegan Lensink, Eldad Haber, Bas Peters
2019	J	`jnl`	Generalized Minkowski sets for the regularization of inverse problems. CoRR Bas Peters, Felix J. Herrmann
2019	J	`jnl`	Neural-networks for geophysicists and their application to seismic data interpretation. CoRR Bas Peters, Eldad Haber, Justin Granek
2019	J	`jnl`	Symmetric block-low-rank layers for fully reversible multilevel neural networks. CoRR Bas Peters, Eldad Haber, Keegan Lensink
2018	J	`jnl`	Multi-resolution neural networks for tracking seismic horizons from few training images. CoRR Bas Peters, Justin Granek, Eldad Haber

2023 — conf

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

AISec

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

2026 — preprint

CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.

arXiv

Matti Schulze, Thorsten Holz, Felix C. Freiling