· devops
[Paper] MAD-DAG: Protecting Blockchain Consensus from MEV
Blockchain security is threatened by selfish mining, where a miner (operator) deviates from the protocol to increase their revenue. Selfish mining is exacerbate...
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- · ai
[Paper] MMA: A Momentum Mamba Architecture for Human Activity Recognition with Inertial Sensors
Human activity recognition (HAR) from inertial sensors is essential for ubiquitous computing, mobile health, and ambient intelligence. Conventional deep models ...
- · ai
[Paper] Video Generation Models Are Good Latent Reward Models
Reward feedback learning (ReFL) has proven effective for aligning image generation with human preferences. However, its extension to video generation faces sign...
- · devops
[Paper] Modeling the Effect of Data Redundancy on Speedup in MLFMA Near-Field Computation
The near-field (P2P) operator in the Multilevel Fast Multipole Algorithm (MLFMA) is a performance bottleneck on GPUs due to poor memory locality. This work intr...
- · ai
[Paper] Predictive Safety Shield for Dyna-Q Reinforcement Learning
Obtaining safety guarantees for reinforcement learning is a major challenge to achieve applicability for real-world tasks. Safety shields extend standard reinfo...
- · ai
[Paper] The Age-specific Alzheimer 's Disease Prediction with Characteristic Constraints in Nonuniform Time Span
Alzheimer's disease is a debilitating disorder marked by a decline in cognitive function. Timely identification of the disease is essential for the development ...
- · ai
[Paper] Phase Transition for Stochastic Block Model with more than sqrt(n) Communities (II)
A fundamental theoretical question in network analysis is to determine under which conditions community recovery is possible in polynomial time in the Stochasti...
- · ai
[Paper] Pessimistic Verification for Open Ended Math Questions
The key limitation of the verification performance lies in the ability of error detection. With this intuition we designed several variants of pessimistic verif...
- · ai
[Paper] Self-Paced Learning for Images of Antinuclear Antibodies
Antinuclear antibody (ANA) testing is a crucial method for diagnosing autoimmune disorders, including lupus, Sjögren's syndrome, and scleroderma. Despite its im...
- · ai
[Paper] Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation
Unlike text, speech conveys information about the speaker, such as gender, through acoustic cues like pitch. This gives rise to modality-specific bias concerns....
- · ai
[Paper] Mechanistic Interpretability for Transformer-based Time Series Classification
Transformer-based models have become state-of-the-art tools in various machine learning tasks, including time series classification, yet their complexity makes ...
- · ai
[Paper] IntAttention: A Fully Integer Attention Pipeline for Efficient Edge Inference
Deploying Transformer models on edge devices is limited by latency and energy budgets. While INT8 quantization effectively accelerates the primary matrix multip...