25 stories tagged with #ptima, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Última llamada para participar en la séptima Can-rrera
Esta noche, a las 22 horas, finaliza el plazo para inscribirse en la séptima Can-rrera de Bioparc Valencia, que se realiza por internet en bioparcvalencia.es. El precio es de 6 eur…
'Sopranos' star Joe Pantoliano shares his unconventional recipe for optimal mental health
Joe Pantoliano revealed his three secret weapons for mental and physical health while discussing addiction: masturbation, medication and meditation.…
Fontastic Space – Find Mathematically Optimal Font Pairings
Compare Google Fonts with anatomy overlays, metrics & pairing scores. Free.…
How one optimal AUKUS submarine pathway became two
Scrutiny of AUKUS's delivery reveals two "optimal pathways" for Australia's submarines.…
The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs
Inference-time scaling has emerged as a critical avenue for enhancing Large Language Models' performance, yet real-world deployment is constrained by strict computational budgets. …
Bad universal priors and notions of optimality (2015) [pdf]
What Is The Optimal Number of Positions In A Portfolio?
It depends...…
Scientists found the optimal robot body, and it has 20 legs — watch it scale walls and move through trees
A sea-urchin-like robot could offer a new blueprint for making more versatile robots, research suggests.…
GEM: Geometric Entropy Mixing for Optimal LLM Data Curation
LLM pre-training efficacy increasingly depends on data composition rather than sheer volume. Yet, optimal mixing is hindered by categorization flaws: human taxonomies suffer from o…
Developing a Totally Unimodular Linear Program for Optimal Conformance Checking: When and Why It Complements A*
Alignment-based conformance checking is the state-of-the-art approach for comparing observed process executions with normative process models. The standard exact solution relies on…
Completion vs Optimality: Policy Gradient in Long-Horizon Cumulative-Damage Problems
Long-horizon decision problems with cumulative damage couple locally attractive actions to globally adverse outcomes. We identify two orthogonal failure modes for policy-gradient m…
Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
Fast and reliable optimal power flow (OPF) approximation is essential for reliable smart-grid operation, yet many learning-based surrogates either flatten the native heterogeneous …
What is the optimal or bang/buck hardware?
How to Mathematically Choose the Optimal Bins for Your Histogram
Optimal Resolution in Histograms: A Rigorous Bayesian Approach to Density Fitting…
Optimal Setup for Jellyfin Remote Access
Linamar And Optimal Capital Allocation
Linamar (LIMAF) analysis: disciplined leverage, contrarian acquisitions, and expansion into MedTech/Robotics—plus tariff risks. See more details.…
Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery
We introduce the $\star_G$ tensor algebra, in which any finite group $G$ defines the multiplication rule, making equivariance an intrinsic algebraic property rather than an archite…
Dual-atom fuel cell catalysts break single-peak rule, exposing two optima
Ask HN: What is an optimal game theoretic response to AI adoption?
Theory-optimal Quantization Based on Flatness
Post-training quantization has emerged as a widely adopted technique for compressing and accelerating the inference of Large Language Models (LLMs). The primary challenges in LLMs …
Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs
We study reinforcement learning for episodic Markov Decision Processes (MDPs) whose transitions are modelled by a multinomial logistic (MNL) model. Existing algorithms for MNL mixt…
Goats win, tigers lose, but stalemate is optimal performance
Somewhere in the foothills of Nepal, old men still gather around a wooden board carved into a five-by-five grid, moving carved tigers and goats across its…
Compute Optimal Tokenization: Scaling Laws for Data Compression in LLMs
Compute Optimal Tokenization: Scaling Laws for Data Compression in Language Models…
PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources
For a Gaussian source under mean-squared error (MSE), classical transform coding is rate--distortion (RD) optimal: the Karhunen--Loeve transform (KLT) diagonalizes the covariance, …