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arXiv:2409.17395v2 Announce Type: replace Abstract: Although fully autonomous systems still face challenges due to patients' anatomical variability, teleoperated systems appear to be more practical in...
arXiv:2409.14719v3 Announce Type: replace Abstract: We aim to solve the problem of generating coarse-to-fine skills learning from demonstrations (LfD). To scale precision, traditional LfD approaches...
arXiv:2409.12709v2 Announce Type: replace Abstract: In healthcare, risk assessment of patient outcomes has been based on survival analysis for a long time, i.e. modeling time-to-event...
arXiv:2408.11730v2 Announce Type: replace Abstract: While previous researchers have performed an exhaustive search to determine an optimal Wordle strategy, that computation is very time consuming...
arXiv:2408.10963v5 Announce Type: replace Abstract: As the use of satellites continues to grow, new networking paradigms are emerging to support the scale and long distance...
arXiv:2407.21082v2 Announce Type: replace Abstract: This paper presents a modular approach to accelerate inference in large language models (LLMs) by adding early exit heads at...
arXiv:2407.14894v3 Announce Type: replace Abstract: Unmanned Aerial Vehicles (UAVs) have significantly enhanced fog computing by acting as both flexible computation platforms and communication mobile relays....
arXiv:2407.11018v3 Announce Type: replace Abstract: Mobile edge computing (MEC) provides low-latency offloading solutions for computationally intensive tasks, effectively improving the computing efficiency and battery life...
arXiv:2407.03580v4 Announce Type: replace Abstract: Optimizing multiple objectives simultaneously is an important task for recommendation platforms to improve their performance. However, this task is particularly...
arXiv:2407.00829v4 Announce Type: replace Abstract: The matrices used in many computational settings are naturally sparse, holding a small percentage of nonzero elements. Storing such matrices...
arXiv:2406.07946v4 Announce Type: replace Abstract: In this paper we propose and evaluate an innovative algorithm that enables the creation of Peer-to-Peer network overlays characterized by...
arXiv:2405.13890v3 Announce Type: replace Abstract: This paper was a Workshop Paper. See the full paper which will be presented at CHI 2026: arXiv:2501.10551; As large...
arXiv:2403.01497v3 Announce Type: replace Abstract: Underwater visuals undergo various complex degradations, inevitably influencing the efficiency of underwater vision tasks. Recently, diffusion models were employed to...
arXiv:2402.16741v4 Announce Type: replace Abstract: Multiparty session types (MPST) provide a type discipline where a programmer or architect specifies a whole view of communications as...
arXiv:2402.15824v2 Announce Type: replace Abstract: The rise of cloud computing demands secure memory systems that ensure data confidentiality, integrity, and freshness against replay attacks. Existing...
arXiv:2402.14996v2 Announce Type: replace Abstract: Allocating items in a fair and economically efficient manner is a central problem in fair division. We study this problem...
arXiv:2402.01353v2 Announce Type: replace Abstract: The formal verification of traditional software has been revolutionised by verification-orientated languages such as Dafny and F* which enable developers...
arXiv:2401.09244v3 Announce Type: replace Abstract: The growing prevalence and rapid evolution of offensive language in social media amplify the complexities of detection, particularly highlighting the...
arXiv:2312.09181v5 Announce Type: replace Abstract: Diffusion models, emerging as powerful deep generative tools, excel in various applications. They operate through a two-steps process: introducing noise...
arXiv:2306.03284v2 Announce Type: replace Abstract: Magnetic resonance imaging (MRI) is a powerful medical imaging modality, but long acquisition times limit throughput, patient comfort, and clinical...
arXiv:2306.01328v2 Announce Type: replace Abstract: Level 3 automated driving systems (ADS) have attracted significant attention and are being commercialized. A Level 3 ADS prompts the...
arXiv:2204.14067v4 Announce Type: replace Abstract: This work proposes a rapid algorithm, BM-Global, for nuclear-norm-regularized convex and low-rank matrix optimization problems. BM-Global efficiently decreases the objective...
arXiv:2602.12273v1 Announce Type: cross Abstract: We propose an optimization-informed deep neural network approach, named iUzawa-Net, aiming for the first solver that enables real-time solutions for...
arXiv:2602.12270v1 Announce Type: cross Abstract: Copyright law focuses on whether a new work is "substantially similar" to an existing one, but generative AI can closely...