A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
This paper evaluates investment risks in LATAM AI startups using DCF method.
YC Bench forecasts startup success in Y Combinator batches with a short-term metric.
Deep learning helps identify promising startups.
Predicting startup success using Crunchbase data and deep learning.
We consider the problem of evaluating the quality of startup companies. This can be quite challenging due to the rarity of successful startup companies and the complexity of factors which impact such success. In this work we collect data on tens of thousands of startup companies, their performance, the backgrounds of t…
Business cycles affect startup valuations, both directly and indirectly.
Study predicts startup outcomes like funding, patenting, IPOs using machine learning.
Green startups in Italy survive longer than non-green ones.
Thanks to the recent availability of comprehensive and detailed online databases of startup companies, it has become possible to more directly investigate startup ecosystems i.e. startup populations in specific regions. In this paper, we analyze the emergence of 20+ such ecosystems in Europe and the USA, with a specifi…
Enhances VC startup success predictions using graph augmented time series models.
We address the issue of the factors driving startup success in raising funds. Using the popular and public startup database Crunchbase, we explicitly take into account two extrinsic characteristics of startups: the competition that the companies face, using similarity measures derived from the Word2Vec algorithm, as we…
In this paper we propose a quadratic programming model that can be used for calculating the term structure of electricity prices while explicitly modeling startup costs of power plants. In contrast to other approaches presented in the literature, we incorporate the startup costs in a mathematically rigorous manner with…
Biotech IPOs in Q1 2021: advanced degrees, clinical trials, and IP key.
This paper compares token and equity financing for startups.
Study reveals which startup valuation factors are most critical.
In the domain of technology startups, biotechnology has often been considered as specific. Their unique technology content, the type of founders and managers they have, the amount of venture capital they raise, the time it takes them to reach an exit as well as the technology clusters they belong to are seen as such un…
A new method to value IPOed companies.
Study evaluates early-stage cybersecurity firms' performance using Crunchbase data.
Startups is a popular phenomenon that has a significant impact on global economy growth, innovation and society development. However, there is still insufficient understanding about startups, particularly, how to start a new business in the relation to consequent performance. Toward this knowledge, we have performed an…
Designed to compete with fiat currencies, bitcoin proposes it is a crypto-currency alternative. Bitcoin makes a number of false claims, including: solving the double-spending problem is a good thing; bitcoin can be a reserve currency for banking; hoarding equals saving, and that we should believe bitcoin can expand by …
PHBench predicts Series A funding from Product Hunt launch signals with 7.8% accuracy.
Study uses web search data to analyze tech startups growth.
We analyze the sectoral dynamics of startup venture financing. Based on a dataset of 52000 start-ups and 110000 funding rounds in the United States from 2000 to 2017, and by applying both Principal Component Analysis (PCA) and Tensor Component Analysis (TCA) in sector space, we visualize and measure the evolution of th…
A key challenge for Bitcoin cryptocurrency holders, such as startups using ICOs to raise funding, is managing their FX risk. Specifically, a misinformed decision to convert Bitcoin to fiat currency could, by itself, cost USD millions. In contrast to financial exchanges, Blockchain based crypto-currencies expose the ent…
Safe offline RL for chemical reactors using input convex neural networks.
Federated learning platform for drug discovery without sharing data.
This research examines relationship between staging of Venture Capital (VC) investments and social feedback visible in publicly available data on the Web. We address the question of Venture Capital investment sensitivity to performance and prospects of new venture, given as likelihood of obtaining future financing, ava…
Storage has become a constrained resource on smartphones. Gaming is a popular activity on mobile devices and the explosive growth in the number of games coupled with their growing size contributes to the storage crunch. Even where storage is plentiful, it takes a long time to download and install a heavy app before it …
AI applications pose increasing demands on performance, so it is not surprising that the era of client-side distributed software is becoming important. On top of many AI applications already using mobile hardware, and even browsers for computationally demanding AI applications, we are already witnessing the emergence o…
Nowadays with a growing number of online controlling systems in the organization and also a high demand of monitoring and stats facilities that uses data streams to log and control their subsystems, data stream mining becomes more and more vital. Hoeffding Trees (also called Very Fast Decision Trees a.k.a. VFDT) as a B…
The paper analyzes game theory in convertible contracts during liquidity events.
The paper categorizes four types of scale-up: smart, dumb, forced, and fumbled.
In today's economy, selling a new zero-marginal cost product is a real challenge, as it is difficult to determine a product's "correct" sales price based on its profit and dissemination. As an example, think of the price of a new app or video game. New sales mechanisms for selling this type of product need to be design…
Sparse regression models CMs from oscillatory shear data efficiently.
This paper ranks Latin American countries based on AI potential.
LeanML reduces machine learning project waste by estimating best performance without training models.
SciSports is a Dutch startup company specializing in football analytics. This paper describes a joint research effort with SciSports, during the Study Group Mathematics with Industry 2018 at Eindhoven, the Netherlands. The main challenge that we addressed was to automatically process empirical football players' traject…
Geoeconomic analysis of venture capital portfolios reveals key emerging tech domains and countries.
A computational theory reduces agent evaluation errors and speeds up processes.
Develops a method to evaluate OPE robustness to hyperparameters and policies.
This paper evaluates and validates cluster results using external and internal evaluation methods.
Optimizes crowdsourced preference-based subjective evaluation with online learning.
We conduct a large-scale, systematic study to evaluate the existing evaluation methods for natural language generation in the context of generating online product reviews. We compare human-based evaluators with a variety of automated evaluation procedures, including discriminative evaluators that measure how well machi…
Our research extends the Bilingual Evaluation Understudy (BLEU) evaluation technique for statistical machine translation to make it more adjustable and robust. We intend to adapt it to resemble human evaluation more. We perform experiments to evaluate the performance of our technique against the primary existing evalua…
Study finds AUC is most consistent across different prevalence in binary classification.
Cramming method evaluates learned policies from contextual bandits efficiently.
Cer-Eval saves LLM evaluation costs while maintaining accuracy.
The study addresses biases in evaluating molecular optimization methods and proposes methods to reduce these biases.