📐 CS Fundamentals - tamaulipas · Scour

🧠LLMs arxiv.org·

Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

🛠️MLOps arxiv.org·

AIGS-Net: Compact Illumination Field Modeling via 2D Gaussian Splatting for Fast Low-Light Image Enhancement

🛠️MLOps arxiv.org·

Starter-Iterator Neural Operator: A Unified Architecture for High-Fidelity Forward and Inverse PDE Problems

🧠LLMs arxiv.org·

Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors

🛠️MLOps arxiv.org·

The Complexity of Min-Max Optimization for Quadratic Polynomials

🧠LLMs arxiv.org·

Revisiting average case complexity of multilevel syllogistic: From the 1995 Courant Technical Report to Lean 4 Formalization

📡Observability arxiv.org·

Sparse Channel Estimation for SIM-based mmWave Near-Field Communications

🧠LLMs arxiv.org·

Polynomial-Time Mistake-Bounded Language Generation

⚖️Architectural Tradeoffs arxiv.org·

Three-Terminal Reachability-Preserving Minimum Node Cut: Planar Hardness and a General-Graph \(O(\sqrt n)\)-Approximation

🧠LLMs arxiv.org·

The Exact Reach of Conormal Invariants in Determinantal Complexity: a Quadratic No-Go Theorem

🧠LLMs arxiv.org·

Safe Output-Feedback Adaptive Optimal Control of Input-Constrained Control-Affine Nonlinear Systems

🧠LLMs arxiv.org·

Depth Lower Bounds for ReLU Networks with Binary Inputs

🛠️MLOps arxiv.org·

Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism

⚖️Architectural Tradeoffs arxiv.org·

Decision-Driven Geosteering Under Uncertainty: A Unified Framework for Sequential Decision Optimization

🛠️MLOps arxiv.org·

Timestep Rescheduling in Diffusion Inversion

⚖️Architectural Tradeoffs arxiv.org·

ShuntServe: Cost-Efficient LLM Serving on Heterogeneous Spot GPU Clusters

⚖️Architectural Tradeoffs arxiv.org·

Worst-case depth hierarchy for shallow quantum circuits

📚RAG arxiv.org·

SGFormer++: Semantic Graph Transformer for Incremental 3D Scene Graph Generation

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