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Product units in gated recurrent units improve nuclear-mass prediction
arXiv:2606.06866v1 Announce Type: new Abstract: The prediction of masses of atomic nuclei using machine learning can complement theoretical models and advance the exploration of poorly known domains of the nuclear chart. We propose a machine learning technique based on gated recurrent units (GRU), which have demonstrated competitive performance in nuclear-mass prediction by exploiting long-term dependencies. By integrating multiplicative interactions and product-unit transformations within...
From Prediction to Self: Developmental Conditions for Agency in Minimal Neural Systems
arXiv:2606.05605v1 Announce Type: new Abstract: How does a system that merely predicts the world come to distinguish its own causal influence from everything else? We trace this transition in a minimal 192-dimensional GRU through 40 controlled experiments arranged as a developmental sequence, adding components one at a time and tracking whether the system can distinguish self-caused from world-caused changes. The developmental path reveals four conditions that must be satisfied in strict...
WristCompass: Kinematic Coupling as a Learnable Visual Concept for Ego-Camera Orientation
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A Held-Out Transition-Pair Falsifier for Long-Horizon Non-Abelian State Tracking
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Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings
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3D Temporal Analysis for Autism Spectrum Disorder Screening During Attention Tasks
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Deep reinforcement learning with spatial and temporal awareness for active boundary control of buoyancy-driven convection
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LLM-Conditioned Synthesis of Pathological Gaits via Structured Gait-Language Representations
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LLM-Conditioned Synthesis of Pathological Gaits via Structured Gait-Language Representations
Announce Type: replace Abstract: Pathological gait datasets remain scarce due to privacy, recruitment, cost, and movement variability. Our work presents a multimodal LLM-guided framework for pathology-aware 3D gait data synthesis from structured textual descriptions. The proposed method generates fixed-length synthetic skeleton-based gait sequences for pathological gait classification tasks.
MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
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