Tootfinder

Distributed MIMO Measurements for Integrated Communication and Sensing in an Industrial Environment
Christian Nelson, Xuhong Li, Aleksei Fedorov, Benjamin J. B. Deutschmann, Fredrik Tufvesson
https://arxiv.org/abs/2403.02430

Distributed MIMO Measurements for Integrated Communication and Sensing in an Industrial Environment
Many concepts for future generations of wireless communication systems use coherent processing of signals from many distributed antennas. The aim is to improve communication reliability, capacity, and energy efficiency and provide possibilities for new applications through integrated communication and sensing. The large bandwidths available in the higher bands have inspired much work regarding sensing in the mmWave and sub-THz bands; however, the sub-6 GHz cellular bands will still be the main …

Multi-Objective Recommendation via Multivariate Policy Learning
Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko
https://arxiv.org/abs/2405.02141

Multi-Objective Recommendation via Multivariate Policy Learning
Real-world recommender systems often need to balance multiple objectives when deciding which recommendations to present to users. These include behavioural signals (e.g. clicks, shares, dwell time), as well as broader objectives (e.g. diversity, fairness). Scalarisation methods are commonly used to handle this balancing task, where a weighted average of per-objective reward signals determines the final score used for ranking. Naturally, how these weights are computed exactly, is key to success …

#China #navalny
If you make it impossible for there to be any opposition, then there won't be an opposition leader. #Russia, you can be sure, is learning this lesson.

China Has Thousands of Navalnys, Hidden From the Public
China has no dissident with the kind of public profile that Aleksei A. Navalny had. The government has many critics, but they all disappear from view.

Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing
Vadim Tynchenko, Aleksei Kudryavtsev, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov
https://arxiv.org/abs/2405.00686

Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing
This report presents the test results Python library BaumEvA, which implements evolutionary algorithms for optimizing various types of problems, including computer vision tasks accompanied by the search for optimal model architectures. Testing was carried out to evaluate the effectiveness and reliability of the pro-posed methods, as well as to determine their applicability in various fields. Dur-ing testing, various test functions and parameters of evolutionary algorithms were used, which made …

TartuNLP at EvaLatin 2024: Emotion Polarity Detection
Aleksei Dorkin, Kairit Sirts
https://arxiv.org/abs/2405.01159 https://arxiv.org…

TartuNLP at EvaLatin 2024: Emotion Polarity Detection
This paper presents the TartuNLP team submission to EvaLatin 2024 shared task of the emotion polarity detection for historical Latin texts. Our system relies on two distinct approaches to annotating training data for supervised learning: 1) creating heuristics-based labels by adopting the polarity lexicon provided by the organizers and 2) generating labels with GPT4. We employed parameter efficient fine-tuning using the adapters framework and experimented with both monolingual and cross-lingual…

During the years leading up to his death in a Russian prison, Aleksei A. #Navalny, the Russian opposition leader, was writing a #memoir about his life and work as a pro-democracy activist.
Titled “#Patriot,” the memoir will be publ…

Before He Died in Prison, Aleksei Navalny Wrote a Memoir. It’s Coming This Fall.
In the book, Navalny tells his story in his own words, chronicling his life, his rise as an opposition leader, and the attempts on his life.

At least 359 people have been detained across Russia since Aleksei Navalny’s death, a rights group reported. Those who came to lay flowers found solace in the company of others.
(Giftlink) #navalny #russia

Hundreds of Navalny Mourners Detained Across Russia
At least 400 people have been detained across Russia since Aleksei Navalny’s death, a rights group reported. Those who came to lay flowers found solace in the company of others.

Individuals Who Honored Navalny's Memory In St. Petersburg Given Summonses To Enlistment Office
https://www.rferl.org/a/st-petersburg-russia-mourners-navalny-summons/32830346.html

Individuals Who Honored Navalny's Memory In St. Petersburg Given Summonses To Enlistment Office
Police officers gave summonses to six men arrested for laying flowers in St. Petersburg in memory of Kremlin opponent Aleksei Navalny, who died last week at an Arctic prison camp, Rotunda website reports.

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, Sergey Tulyakov
https://arxiv.org/abs/2402.14797

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Contemporary models for generating images show remarkable quality and versatility. Swayed by these advantages, the research community repurposes them to generate videos. Since video content is highly redundant, we argue that naively bringing advances of image models to the video generation domain reduces motion fidelity, visual quality and impairs scalability. In this work, we build Snap Video, a video-first model that systematically addresses these challenges. To do that, we first extend the E…

S\~onajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation
Aleksei Dorkin, Kairit Sirts
https://arxiv.org/abs/2404.19430 https://arxiv.org/pdf/2404.19430
arXiv:2404.19430v1 Announce Type: new
Abstract: We present an information retrieval based reverse dictionary system using modern pre-trained language models and approximate nearest neighbors search algorithms. The proposed approach is applied to an existing Estonian language lexicon resource, S\~onaveeb (word web), with the purpose of enhancing and enriching it by introducing cross-lingual reverse dictionary functionality powered by semantic search.
The performance of the system is evaluated using both an existing labeled English dataset of words and definitions that is extended to contain also Estonian and Russian translations, and a novel unlabeled evaluation approach that extracts the evaluation data from the lexicon resource itself using synonymy relations.
Evaluation results indicate that the information retrieval based semantic search approach without any model training is feasible, producing median rank of 1 in the monolingual setting and median rank of 2 in the cross-lingual setting using the unlabeled evaluation approach, with models trained for cross-lingual retrieval and including Estonian in their training data showing superior performance in our particular task.