Tootfinder

Douro Valley hiking day 3. #hiking #portugal

On The Road - To Xi’An/ Mordern Relics
在路上 - 去西安/ 现代遗风
📷 Pentax MX
🎞️Fujifilm Neopan F, expired 1993
#filmphotography #Photography #blackandwhite

Nice simple guide to the effect of temperature (and altitude) on tyres; and possibly a useful warning for anyone #cycling on hookless rims in a heatwave.
https://www.bikeradar.com/features/qa…

How hot weather affects tyre pressure – and why riders with hookless rims need to take note | BikeRadar
Heat and altitude can raise your tyre pressures – and for riders on hookless rims, that could mean crossing safe limits

Hybrid Fiber-Free-Space Entanglement Distribution Using Off-the-Shelf Quantum Devices
Gustavo C. Amaral, Nienke M. ten Haaf, Breno Perlingeiro, David L. Bakker, Mark G. M. Boekel, Tim E. van Duivenbode, Karthik Selvan, Nicolas Oidtmann, Rafael Ochsendorf, Rick N. M. Wasserman, Mael Flament, Felipe Giraldo, Shane Andrewski, Mehdi Namazi, Federica Facchin, Mario Casta\~neda, Fokko de Vries, Sayali Shevate, Shaurya Bhave, Marco Gorter, Nico Coesel, David Mytling, Mike Mabry, Carlo Page, A…

Hybrid Fiber-Free-Space Entanglement Distribution Using Off-the-Shelf Quantum Devices
Entanglement serves as a fundamental resource for quantum technologies, enabling communication and computation tasks that surpass classical limits. Its distribution across networks is essential for interconnecting quantum processors, enabling distributed quantum computing to address complex challenges in areas such as drug discovery, material science, and optimization. In this work, we report the successful distribution of polarization-entangled photon pairs across a campus-scale, three-node qu…

Adversarial Attacks Leverage Interference Between Features in Superposition
Edward Stevinson, Lucas Prieto, Melih Barsbey, Tolga Birdal
https://arxiv.org/abs/2510.11709 https://…

Adversarial Attacks Leverage Interference Between Features in Superposition
Fundamental questions remain about when and why adversarial examples arise in neural networks, with competing views characterising them either as artifacts of the irregularities in the decision landscape or as products of sensitivity to non-robust input features. In this paper, we instead argue that adversarial vulnerability can stem from efficient information encoding in neural networks. Specifically, we show how superposition - where networks represent more features than they have dimensions …

Douro Valley hiking day 5. Possibly the best views so far and certainly best beer at the end. #hiking #portugal #craftbeer

An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes
Rodrigo Lankaites Pinheiro, Dario Landa-Silva, Wasakorn Laesanklang, Ademir Aparecido Constantino
https://arxiv.org/abs/2508.08297

An Efficient Application of Goal Programming to Tackle Multiobjective Problems with Recurring Fitness Landscapes
Many real-world applications require decision-makers to assess the quality of solutions while considering multiple conflicting objectives. Obtaining good approximation sets for highly constrained many-objective problems is often a difficult task even for modern multiobjective algorithms. In some cases, multiple instances of the problem scenario present similarities in their fitness landscapes. That is, there are recurring features in the fitness landscapes when searching for solutions to differ…

CLAIRE: A Dual Encoder Network with RIFT Loss and Phi-3 Small Language Model Based Interpretability for Cross-Modality Synthetic Aperture Radar and Optical Land Cover Segmentation
Debopom Sutradhar, Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan, Reem E. Mohamed, Sheikh Izzal Azid, Sami Azam
https://arxiv.org/abs/2509.11952

CLAIRE: A Dual Encoder Network with RIFT Loss and Phi-3 Small Language Model Based Interpretability for Cross-Modality Synthetic Aperture Radar and Optical Land Cover Segmentation
Accurate land cover classification from satellite imagery is crucial in environmental monitoring and sustainable resource management. However, it remains challenging due to the complexity of natural landscapes, the visual similarity between classes, and the significant class imbalance in the available datasets. To address these issues, we propose a dual encoder architecture that independently extracts modality-specific features from optical and Synthetic Aperture Radar (SAR) imagery, which are …

Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations
Shresth Grover, Akshay Gopalkrishnan, Bo Ai, Henrik I. Christensen, Hao Su, Xuanlin Li
https://arxiv.org/abs/2509.11417

Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations
Vision-language-action (VLA) models finetuned from vision-language models (VLMs) hold the promise of leveraging rich pretrained representations to build generalist robots across diverse tasks and environments. However, direct fine-tuning on robot data often disrupts these representations and limits generalization. We present a framework that better preserves pretrained features while adapting them for robot manipulation. Our approach introduces three components: (i) a dual-encoder design with o…

The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
Matias D. Cattaneo, Jason M. Klusowski, Ruiqi Rae Yu
https://arxiv.org/abs/2509.11381

The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
Recursive decision trees have emerged as a leading methodology for heterogeneous causal treatment effect estimation and inference in experimental and observational settings. These procedures are fitted using the celebrated CART (Classification And Regression Tree) algorithm [Breiman et al., 1984], or custom variants thereof, and hence are believed to be "adaptive" to high-dimensional data, sparsity, or other specific features of the underlying data generating process. Athey and Imbens [2016] pr…