Operationally Guided Placement-Aware Learning for Industrial Online 3D Bin Packing
OPAL improves online 3D bin packing by integrating operational constraints into placement-aware learning instead of geometry-only representations.
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OPAL improves online 3D bin packing by integrating operational constraints into placement-aware learning instead of geometry-only representations.
EgoGenesis synthesizes egocentric manipulation videos using geometry-aware conditioning and projective memory to expand embodied AI training data.
Philosophical critique argues LLM anthropomorphisms (hallucination, agency, sentience) reflect category mistakes in asymmetric human-machine language games.
SymmGrid framework accelerates on-robot reinforcement learning via parallelized symmetries and dual visual perception.
BAND sparse Bayesian network achieves polynomial convergence rates for high-dimensional distribution estimation.
Relay-OPD mitigates prefix failure in on-policy distillation by detecting teacher-student continuation asymmetry and triggering label-free handoffs during training.
Desktop-Delta Bench isolates whether computer-use agents understand GUI state transitions caused by actions, beyond end-task success metrics.
Reinformed Dreamer applies asymmetric RL with latent guidance to improve world model training and policy learning under partial observability.
UniMem hybrid episodic-parametric memory for LLM agents resolves stability-plasticity dilemma across boundary-agnostic evolving task streams.
Analysis of Sharpness-Aware Minimization and Muon optimizer investigates matrix-aware geometry for robust generalization under parameter perturbations.
Benchmark of six VLMs (Gemini, GPT-4V, Qwen, Gemma, Llama, Ministral) on zero-shot anomaly detection for game geometry clipping in agent-driven QA.
Rule-based Visiting Circulation model for trip destination prediction in unseen metropolitan areas using behavioral patterns.
Rashomon Alignment measures functional model similarity geometrically across input space, beyond data-distribution-dependent metrics.
Controlled benchmark analyzing how LoRA adaptation site affects learning geometry across lexical, factual, causal, and procedural objectives in Transformers.
Study uses spectral dataset properties (entropy, rank, autocorrelation) as empirical priors to guide 1D-CNN architecture design for NIR chemometrics across 25 regression tasks.
Theoretical analysis of positive quadratic networks studies quotient structure effects on training dynamics and implicit bias via Riemannian geometry on PSD manifolds.
MemSFT mitigates alignment tax by decoupling domain specialization via plug-and-play parametric memory that imitates retriever behavior, preserving general-task performance.
Argument that autonomous research systems need efficiency metrics alongside quality; search cost becomes critical as AR scales to expensive domains.
Study of sparse autoencoders' downstream causal effects via logit geometry; shows activation descriptions don't predict steering behavior.
PYPM-GGD extends Pitman-Yor nonparametric Bayesian methods to non-conjugate posteriors via variational inference.
Evaluates fuzz testing methods for safety-critical RL agents across robotics and autonomous systems with standardized metrics.
GPU-accelerated symmetric NMF for large-scale dependence decomposition in portfolio risk estimation.
Evaluation of multilingual NMT models (NLLB, mBART) on English-Tamil translation across four datasets with BLEU/chrF metrics.
Stratechery taking editorial vacation week of July 27; publishing schedule suspended except Sharp China and Asianometry.
SM4RT learns structured motion geometry for 4D dynamic reconstruction by modeling rigid-body kinematics instead of point-wise flow.
grapheme-kit: open-source Python library for grapheme-level NLP metrics and text processing in multilingual systems, addressing Unicode limitations in writing systems like Tamil and Sinhala.
Entropic Curvature metric extends transport-based geometry to graphs for addressing GNN oversmoothing via global information propagation analysis.
Analysis of AUROC, AUPR, F1, MCC behavior under imbalanced anomaly detection reveals metric instability across ratios.
VLM-IE3D framework enhances vision-language models with implicit and explicit 3D geometry tokens from RGB video for improved spatial reasoning.
MIRROR framework exploits complementary reasoning paths across text, diagram, and combined modalities to improve vision-language model reasoning on geometry problems.