AIMdyn, Inc.的动态

Guest lecture by visiting Professor Philip Brown on understanding the practical relevance of worst-case equilibria in games ?? A central theme of game theory research in recent decades has focused on deriving bounds on the worst-case performance of equilibria in noncooperative games. In much recent literature, selecting agent incentives or payoff functions to optimize worst-case equilibria has been a central research goal. However, little work has focused on understanding the practical relevance of worst-case equilibria themselves. Are these equilibria common? Are they stable? Brown, Assistant Professor at the University of Colorado, will provide recently found evidence that worst-case equilibria are less "scary" than previously thought. The fundamental tradeoff between the efficiency of equilibria and their stability will be discussed, as well as a proposed paradigm of distributed algorithm design which exploits this tradeoff to ensure that agents never converge to worst-case equilibria. ?? June 21st, 2024 ? 11:00 - 12:00 (welcome with coffee at 10:45) ?? Gemini South 0.05, TU/e Find out more and sign up here! ?? https://lnkd.in/eVFmbGQ8

???♀? Explore this highly cited paper in #Games (IF: 0.6, ISSN: 2227-7390), indexed in #Scopus, #ESCI, #MathSciNet, #zbMATH, #RePEc, and more! ?? Title: Misperception and Cognition in Markets ?? https://buff.ly/3Atxz8O ?? Keywords: #BehavioralGameTheory #ExperimentalGameTheory ?? Stats: Views: 1,553 Citations: 3 ?? Kudos to the authors on this achievement! @MDPIOpenAccess #OpenAccess #MarketBehavior #GameTheory

I'm excited to share that my master's thesis has been published in the Computers & Graphics journal by Elsevier and will be presented at SIBGRAPI 2024 in Brazil. In this research, we introduce a novel approach to volume visualization, specifically addressing the challenge of transfer function generation. Volume rendering is essential for visualizing volumetric data, but creating an effective transfer function—needed to highlight important features while minimizing visual clutter—can be complex and time-consuming. Our method optimizes transfer functions based on images of similar volumes, making the process more efficient. This is a step forward in simplifying volume visualization, and we look forward to building on these results in future work. Link: https://lnkd.in/gtfYucwV

Larson's new system of physical theory, the Reciprocal System of Physical Theory (RST), is explained. Background Independence The idea of background independence is the modern articulation of the famous debate between Newton and Leibniz over whether space and time are properly regarded as something that exists substantively and absolutely, or whether they have no meaning other than that given to them by the relative positions of objects in different spatial locations at different moments in time. Newton argued that space and time are to be regarded as absolute, and he eventually won the argument after presenting his famous water bucket thought experiment. The Physicists’ Relational Conception of Space and Time There are three elements to this concept that Smolin discusses: 1) There is no background. 2) The fundamental properties of the elementary entities consist entirely in relationships between those elementary entities. 3) The relationships are not fixed, but evolve according to law. Time is nothing but changes in the relationships, and consists of nothing but their ordering. Space|Time Reciprocity Of course, if we think of space and time as a background, then the idea of space being the reciprocal of time seems absurd, but in considering the equation of motion, the reciprocal relationship of these two enigmatic concepts makes perfect sense.

Delve into the paper, "Representing Boundary-Ambiguous Scene Online With Scale-Encoded Cascaded Grids and Radiance Field Deblurring". Authored by: Shenghao Li; Zeyang Xia; Qunfei Zhao ?? Volume: 34, Issue: 4, April 2024 This paper proposes a novel online scene representation method that simultaneously learns to represent the target scene and estimates the camera poses from an RGB-D stream. ?? Read more on IEEE Xplore here: https://loom.ly/ZXb2KYg #IEEE #IEEEXplore #TCSVT #VideoTechnology #ReadNow

We, Laboratory of Vision and Learning for scene analysis of CEA-List , are proud to be part of #CVPR2024 with our paper 'DIOD: Self-Distillation Meets Object Discovery' ! Instance segmentation demands substantial labeling resources. This has prompted increased interest to explore the object discovery task as an unsupervised alternative. In particular, promising results were achieved in localizing instances using motion supervision only. However, the motion signal introduces complexities due to its inherent noise and sparsity, which constrains the effectiveness of current methodologies. We propose DIOD, the first method that places the motion-guided object discovery within a framework of continuous improvement through knowledge distillation, providing solutions to existing limitations. (i) DIOD robustly eliminates the noise present in the exploited motion maps providing accurate motion-supervision, (ii) DIOD leverages the discovered objects within an iterative pseudo-labeling framework, enriching the initial motion-supervision with static objects, which results in a cost-efficient increase in performance. With Sandra KARA , Hejer AMMAR , Julien Denize, PhD , Florian Chabot, Quoc Cuong PHAM

John Conway's Game of Life (1970) An attempt to simulate one of the most famous examples of Cellular Automaton devised by the British Mathematician John Horton Conway in 1970. The rules are pretty simple, but the emergence of complexity and unexpected behaviour is insane(you can check out yt, there are some great videos out there). Rules- 1. Any live cell with fewer than two live neighbours dies, as if by underpopulation. 2. Any live cell with two or three live neighbours lives on to the next generation. 3. Any live cell with more than three live neighbours dies, as if by overpopulation. 4. Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction. (The simulation is written in C++ with a double buffer approach and hardware acceleration. Currently, the cells are initialized randomly, but there are also many interesting initialisation patterns that others have discovered over time.)

A fun memory from my younger years!?Back in the day, after reading a "how-to-solve" book and logging tons of practice, I was pretty proud to take roughly 1.5 minutes...but today's "under-10-second" speed cubers are truly amazing. Even now I can't claim deep knowledge of the underlying math. Here's a video that breaks down the problem in a very interesting way.?Fascinating how the solution algorithm also sheds light on "six degrees of separation" and early encryption methods, as well: https://lnkd.in/eHmyK32X

I am pleased to inform you that our original research article "Human Motion Detection Using Spatio-Temporal Volumes in Virtual Reality Environments" has been published in Springer Nature Group Journal of SN Computer science. We introduced a novel approach for human #motiondetection to have a perfect #humaninteraction with #virtualreality environments. Our method -named CSCMD- is based on #SpatioTemporalVolumes (STV) and is implemented based on #imageprocessing and #machinevision algorithms to detect #anomalyregions as #motion parts. Now, You can access the published paper by using the following SharedIt link: https://rdcu.be/dSA1m

#Mathematics #Particularinterest ? Share a Feature Paper titled "A #StochasticControl Approach for Constrained #Stochastic #Differential Games with Jumps and Regimes" with you. ???? Author: Dr. Emel Savku from the Department of Mathematics, University of Oslo, Norway ?? Keywords: stochastic optimal control; stochastic differential games; regime switches; stochastic maximum principle; insurance ?? Link: https://buff.ly/3NL9Un8 #stochasticanalysis #financialmathematics #MDPIOpenAccess #ComSciMath_Mdpi