Tootfinder

I wrote an #Introduction post on our newly launched #AllThingsTech blog that you can read via the link below.
http…

Wendy's introduction of "Surge Pricing" reminds me that there are taquerias and Korean sandwich shops that don't do shitty things like that.
Here's hoping that an enterprising food truck or two park themselves on the sidewalk out front of every Wendy's.

Avec plus de 10 ans de retard je me lance dans https://bookwyrm.lovetux.net/book/26612/s/introduction-a-la-langue-mongole

Introduction à la langue mongole - BookWyrm de Lovetux.net
Un guide pratique Une approche simple et des exercices graduels Des explications claires avec de nombreux exemples Des leçons introduisant graduellement les bases de la langue Un guide idéal pour comprendre les grands mécanismes de la grammaire Un dictionnaire français-mongol avec plus de 2000 mots Des enregistrements conçus pour vous guider De nombreux exercices

I wrote an #Introduction post on our newly launched #AllThingsTech blog that you can read via the link below.
http…

Wendy's introduction of "Surge Pricing" reminds me that there are taquerias and Korean sandwich shops that don't do shitty things like that.
Here's hoping that an enterprising food truck or two park themselves on the sidewalk out front of every Wendy's.

This https://arxiv.org/abs/2308.15808 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Learning the References of Online Model Predictive Control for Urban Self-Driving
In this work, we propose a novel learning-based model predictive control (MPC) framework for motion planning and control of urban self-driving. In this framework, instantaneous references and cost functions of online MPC are learned from raw sensor data without relying on any oracle or predicted states of traffic. Moreover, driving safety conditions are latently encoded via the introduction of a learnable instantaneous reference vector. In particular, we implement a deep reinforcement learning …

This https://arxiv.org/abs/2402.01015 has been replaced.
link: https://scholar.google.com/scholar?q=a

An optimal advertising model with carryover effect and mean field terms
We consider a class of optimal advertising problems under uncertainty for the introduction of a new product into the market, on the line of the seminal papers of Vidale and Wolfe, 1957, and Nerlove and Arrow, 1962. The main features of our model are that, on one side, we assume a carryover effect (i.e. the advertisement spending affects the goodwill with some delay); on the other side we introduce, in the state equation and in the objective, some mean field terms which take into account the pre…

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang
https://arxiv.org/abs/2402.17188 <…

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
Multimedia online platforms (e.g., Amazon, TikTok) have greatly benefited from the incorporation of multimedia (e.g., visual, textual, and acoustic) content into their personal recommender systems. These modalities provide intuitive semantics that facilitate modality-aware user preference modeling. However, two key challenges in multi-modal recommenders remain unresolved: i) The introduction of multi-modal encoders with a large number of additional parameters causes overfitting, given high-dime…

Michael Penix Jr. had 'a very good conversation' with Falcons QB Kirk Cousins on draft night https://www.nfl.com/news/michael-penix-jr-had-a-very-good-conversation-with-falcons-qb-kirk-cousins-on-draft-night

Michael Penix Jr. had 'a very good conversation' with Falcons QB Kirk Cousins on draft night
Upon his introduction in Atlanta on Friday, Michael Penix Jr. told reporters that he and Falcons quarterback Kirk Cousins "had a very good conversation" on draft night.

On the nonlinear thin obstacle problem
Anna Abbatiello, Giovanna Andreucci, Emanuele Spadaro
https://arxiv.org/abs/2403.19487 https://

On the nonlinear thin obstacle problem
The thin obstacle problem or $n$-dimensional Signorini problem is a classical variational problem arising in several applications, starting with its first introduction in elasticity theory. The vast literature concerns mostly quadratic energies, whereas only partial results have been proved in the nonlinear case. In this paper we consider the thin boundary obstacle problem for a general class of nonlineraities and we prove the optimal $C^{1, \frac{1}{2}}$-regularity of the solutions in any spac…