Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We show that a single MLIP used as a stability filter misses 93% of density functional theory (DFT)-stable materials (recall 0.07) on a 25,000-material benchmark. Proof-Carrying Mat...
A capable surgical AI model should reason from visual evidence; yet, many existing surgical benchmarks can be partially solved without visual input, as models may exploit procedural priors or common anatomy-instrument interactions to infer answers from language alone. To address this, we introduce SUREON, a video quest...
Alejandra Perez, Anita Rau, Busisiwe Mlambo et al.· 0 citations
Video object insertion is fundamental to video editing, yet existing diffusion methods often produce visually plausible but physically inconsistent results. We present Place-it-R1, an end-to-end framework for physically plausible video object insertion driven by environment-aware MLLM reasoning. Rather than treating re...
Generalized additive models (GAMs) offer high interpretability through independent univariate feature effects but underfit when interactions are present in data. GA$^2$Ms add selected pairwise interactions which improves accuracy, but sacrifices interpretability. We propose Conditionally Additive Local Models (CALMs),...
Vasilis Gkolemis, Loukas Kavouras, Dimitrios Kyriakopoulos et al.· 0 citations
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This paper introduces a novel recovery-based shielding framework that enables safe RL with a provable safety lower bound for unknown and non-linear continuous dynamical systems.
Alexander W. Goodall, Francesco Belardinelli· Adaptive Agents and Multi-Ag...· 2 citations
JudgeGPT and RogueGPT are presented, a dual-axis framework that decouples ''authenticity'' from ''attribution'' to investigate the mechanisms of human susceptibility and suggest that ''pre-bunking'' interventions should target cognitive source monitoring rather than demographic segmentation to ensure trustworthy inform...
Alexander Loth, Martin Kappes, Marc-Oliver Pahl· The Web Conference· 10 citations
TIRx is presented, an ML compiler for GPUs and AI accelerators that exposes these ingredients through explicit interfaces and introduces tile-primitive dispatch, which lowers high-level operations to efficient implementations according to scope, layout, and backend.
Bo-Han Hou, H. Jin, Guan-Jie Wang et al.· 6 citations· ⚡2
Understanding the structure of complex, nonstationary, high-dimensional time-evolving signals is a central challenge in scientific data analysis. In many domains, such as speech and biomedical signal processing, the ability to learn disentangled and interpretable representations is critical for uncovering latent genera...
Ioannis N. Ziogas, Aamna Al Shehhi, Ahsan H. Khandoker et al.· 0 citations
Modern operational systems ranging from logistics and cloud infrastructure to industrial IoT, are governed by complex, interdependent processes. Understanding how interventions propagate through such systems requires causal inference methods that go beyond direct effects to quantify mediated pathways. Traditional media...
Alessandro Casadei, Sreyoshi Bhaduri, Rohit Malshe et al.· 0 citations
InstruBPM is introduced, a reproducible approach that prepares paired text-diagram data and instruction tunes an open source large language model with parameter-efficient fine-tuning and quantization for on-prem deployment and improves structural accuracy and robustness compared to untuned baselines and reduces relianc...
Gökberk Çelikmasat, Atay Özgövde, F. Aydemir· arXiv.org· 1 citation
Accurate person-specific gaze estimation benefits from labeled user data, but collecting images that densely cover gaze directions is burdensome. We present DiTGaze, a calibration-efficient augmentation system that follows a two-stream 3D Gaussian Splatting backbone and reformulates its convolutional rendering stage as...
Abiram Panchalingam, Indu P. Bodala, Stuart E. Middleton· 0 citations
Evaluating spoken role-play requires judging not only linguistic content but also prosody, emotional expression, character embodiment, and contextual fit. Existing automatic evaluation methods often collapse these aspects into coarse scores and are evaluated primarily on synthesized speech. We introduce Speech-DRAME, a...
Jiatong Shi, Jionghao Han, Yichen Lu et al.· 0 citations
