Tootfinder

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh, AJung Moon
https://arxiv.org/abs/2510.10339

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
Over the past decade, an ecosystem of measures has emerged to evaluate the social and ethical implications of AI systems, largely shaped by high-level ethics principles. These measures are developed and used in fragmented ways, without adequate attention to how they are situated in AI systems. In this paper, we examine how existing measures used in the computing literature map to AI system components, attributes, hazards, and harms. Our analysis draws on a scoping review resulting in nearly 800…

Outstanding episode of @alexpodyssey.bsky.social on the commute home today.@… had me laughing out loud in the first half but as ever the story behind Medusa is much darker, and much more interesting than you thought.
Here's Looking at You, Kid
File:
https://traffic.megaphone.fm/NSR3457675425.mp3?updated=1756702004
RSS:
https://feeds.megaphone.fm/podyssey

Beyond Sub-6 GHz: Leveraging mmWave Wi-Fi for Gait-Based Person Identification
Nabeel Nisar Bhat, Maksim Karnaukh, Jakob Struye, Rafael Berkvens, Jeroen Famaey
https://arxiv.org/abs/2510.08160

Beyond Sub-6 GHz: Leveraging mmWave Wi-Fi for Gait-Based Person Identification
Person identification plays a vital role in enabling intelligent, personalized, and secure human-computer interaction. Recent research has demonstrated the feasibility of leveraging Wi-Fi signals for passive person identification using a person's unique gait pattern. Although most existing work focuses on sub-6 GHz frequencies, the emergence of mmWave offers new opportunities through its finer spatial resolution, though its comparative advantages for person identification remain unexplored. Thi…

Flow-Based Fragment Identification via Binding Site-Specific Latent Representations
Rebecca Manuela Neeser, Ilia Igashov, Arne Schneuing, Michael Bronstein, Philippe Schwaller, Bruno Correia
https://arxiv.org/abs/2509.13216

Flow-Based Fragment Identification via Binding Site-Specific Latent Representations
Fragment-based drug design is a promising strategy leveraging the binding of small chemical moieties that can efficiently guide drug discovery. The initial step of fragment identification remains challenging, as fragments often bind weakly and non-specifically. We developed a protein-fragment encoder that relies on a contrastive learning approach to map both molecular fragments and protein surfaces in a shared latent space. The encoder captures interaction-relevant features and allows to perfor…

RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments
Mobin Habibpour, Alireza Nemati, Ali Meghdari, Alireza Taheri, Shima Nazari
https://arxiv.org/abs/2510.02616

RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments
Simultaneous Localization and Mapping (SLAM) plays an important role in many robotics fields, including social robots. Many of the available visual SLAM methods are based on the assumption of a static world and struggle in dynamic environments. In the current study, we introduce a real-time semantic RGBD SLAM approach designed specifically for dynamic environments. Our proposed system can effectively detect moving objects and maintain a static map to ensure robust camera tracking. The key innov…

Understanding topological dynamics of hyperbolic dynamical systems via examples
Anima Nagar
https://arxiv.org/abs/2509.08322 https://arxiv.org/pdf/2509.083…

Understanding topological dynamics of hyperbolic dynamical systems via examples
Topological dynamics constitutes the study of asymptotic properties of orbits under flows or maps on the Hausdorff phase space. Hyperbolic dynamics is the study of differentiable flows or maps that are usually characterized by the presence of expanding and contracting directions for the associated derivative on some manifold. We study some topological dynamics, essentially the property of `proximality', of two prototype examples of hyperbolic dynamical systems - \emph{Arnold's Cat Map} and \emp…

ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
Fatemeh Nazary, Ali Tourani, Yashar Deldjoo, Tommaso Di Noia
https://arxiv.org/abs/2508.04206

ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
Recommending long-form video content demands joint modeling of visual, audio, and textual modalities, yet most benchmarks address only raw features or narrow fusion. We present ViLLA-MMBench, a reproducible, extensible benchmark for LLM-augmented multimodal movie recommendation. Built on MovieLens and MMTF-14K, it aligns dense item embeddings from three modalities: audio (block-level, i-vector), visual (CNN, AVF), and text. Missing or sparse metadata is automatically enriched using state-of-the…

On partitions associated with elementary symmetric polynomials
Cristina Ballantine, Shaheen Nazir, Bridget Eileen Tenner, Karlee Westrem, Chenchen Zhao
https://arxiv.org/abs/2510.01100

On partitions associated with elementary symmetric polynomials
The elementary symmetric partition function is a map on the set of partitions. It sends a partition lambda to the partition whose parts are the summands in the evaluation of the elementary symmetric function on the parts of lambda. These elementary symmetric partition functions have been studied before, and are related to plethysm. In this note, we study properties of the elementary symmetric partition functions, particularly related to injectivity and the number of parts appearing in their ima…