Explore the Set Transformer framework that introduces advanced methods for handling set-input problems and achieving permutation invariance in neural networks. The framework utilizes self-attention mechanisms and pooling architectures to encode features and transform sets efficiently, offering insig

9 views • 21 slides

This presentation discusses a novel approach in self-supervised learning (SSL) called Pretext-Invariant Representations Learning (PIRL). Traditional SSL methods yield covariant representations, but PIRL aims to learn invariant representations using pretext tasks that make representations similar for

0 views • 8 slides

Learn about the concepts of stretches and shears in geometry through visual representations and explanations. Discover how to identify stretches and shears, understand the role of invariant lines, determine scale factors, differentiate between the two transformations, and plot points in different sc

2 views • 11 slides

Myhill-Nerode theorem states that three statements are equivalent regarding the properties of a regular language: 1) L is the union of some equivalence classes of a right-invariant equivalence relation of finite index, 2) Equivalence relation RL is defined in a specific way, and 3) RL has finite ind

1 views • 20 slides

Explore the fundamentals of Quantum Chromodynamics and Classical Field Theories in this informative lecture, covering topics such as global and local symmetries, Lagrangians, actions, and dynamics. Understand the significance of global and local symmetries in classical field theories, along with exa

2 views • 17 slides

SCET, a soft collinear effective theory, describes interactions between low energy, soft partonic fields, and collinear fields in QCD. It helps prove factorization theorems and identifies relevant scales. The SCET Lagrangian is formed by gauge invariant building blocks, enabling gauge transformation

0 views • 38 slides

Dive into the concept of unlabeled certificates in the decision tree model, exploring their significance in minimizing queries to adjacency matrices for graph properties. Learn about the difference between labeled and unlabeled certificates, their relevance in invariant functions, and the complexiti

1 views • 31 slides

Discover the integration of Liquid Types and Refinement Types in C programming through Invariant Discovery, leading to automatically adapting C programs to fit Liquid Types. Explore challenges and solutions in expressing invariants, handling unknown aliasing, and implementing strong updates within t

0 views • 24 slides

The Annual Meeting of the GDR PH-QCD focused on discussing Transverse Momentum Distributions (TMDs) and their significance at small kT and small x values. Topics covered include gauge-invariant correlators, PDFs, and PFFs, as well as the utilization of color gauge links in describing partonic transv

0 views • 33 slides

Perform formal verification of a flash memory reading unit by demonstrating correctness using randomized testing and exhaustive testing. Randomly select physical sectors to write characters and set corresponding Security Assertion Markup (SAM) structures. Create a total of 43,680 distinct test cases

0 views • 5 slides

Maximum likelihood estimation (MLE) is a powerful statistical method used in nuclear, particle, and astro physics to derive estimators for parameters by maximizing the likelihood function. MLE is versatile and can be used in various problems, although it can be computationally intensive. MLE estimat

0 views • 22 slides

Fundamentals of computer vision cover topics such as light, geometry, matching, and more. It delves into how images are recorded, how to relate world and image coordinates, measuring similarity between regions, aligning points/patches, and grouping elements together. Understanding concepts like shad

0 views • 29 slides

Calculating signals for Weakly Interacting Massive Particle (WIMP) direct detection using an object-oriented Python code called WimPyDD. WimPyDD provides accurate predictions for expected rates in WIMP direct detection experiments within the framework of Galilean invariant non-relativistic effective

0 views • 24 slides

Techniques for radiometric calibration in remote sensing include vicarious approaches utilizing invariant desert sites, in-situ methods characterizing surfaces and atmospheres, and SI-traceable measurements for intercomparisons between sensors. The repeatability of in-situ results and comparison wit

0 views • 20 slides

The Bible emphasizes the importance of honoring and submitting to governmental authorities as they are appointed by God. Passages from 1 Peter and Romans instruct believers to obey rulers, governors, and kings, not using freedom as a pretext for wrongdoing. By following these teachings, individuals

0 views • 26 slides