NeurIPS2025 Workshop Learning to Sense (Non-Proceedings Track)

Accepted papers (8)

Fetched from OpenReview (v2) on 2026-06-10.

1. BaSeOpt: Bayesian Image Sensor Layout Optimization for Efficient Vision Systems

   Mishal Fatima, Danail Ignatovski, Petar Dimitrov Malamov, Jovita Lukasik, Margret Keuper · PDF

2. BRASS: Budget-Aware RAW Sensor Sampling for Edge Vision via Co-Design

   Kailash Talreja, Saurabh Jha · PDF

3. Improving Generative Inverse Design of Rectangular Patch Antennas with Test-Time Optimization

   Beck LaBash, Shahriar Khushrushahi, Fabian Ruehle · PDF

4. Inference-Time Scaling of Diffusion Models for Infrared Data Generation

   Kai A. Horstmann, Maxim Clouser, Kia Khezeli · PDF

5. Interpretable Adverse Lens Corruptions

   Kai Bäuerle, Patrick Müller, Ivo Ihrke, Margret Keuper · PDF

6. Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation

   Serban Cristian Tudosie, Alexander Denker, Zeljko Kereta, Simon Arridge · PDF

7. Task-driven Sensing with Coarse-to-Fine Glimpse-based Active Perception

   Oleh Kolner, Thomas Ortner, Stanisław Woźniak, Angeliki Pantazi · PDF

8. Transformer Enabled Dual-Comb Ghost Imaging for Optical Fiber Sensing

   David Dang, Myoung-Gyun Suh, Maodong Gao, Dong-Chel Shin, Aggraj Gupta, ByoungJun Park, Can Uzundal, Beyonce Hu, Yucheng Jin, Wilton J. M. Kort-Kamp, Ho Wai Howard Lee · PDF