97 citations · 267 across the 18 of their papers we have counts for
31 papers
V-FiLLM: Verified Financial LLM Reasoning Benchmark
Alicia Larsen, Victoire Laurent, Aulia Kharis Rakhmasari +2
While existing benchmarks have made substantial progress in evaluating LLMs across STEM domains, financial reasoning over structured data remains comparatively less explored. We in…
Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization
Leonel Aguilar, Jan Nagler, Christoph Hoelscher +1
Successful deep neural networks discover salient features of data. We show when and why they fail to learn out-of-distribution (OOD)-relevant representations from an in-distributio…
Towards agent-based-model informed neural networks
Nino Antulov-Fantulin
In this article, we present a framework for designing neural networks that remain consistent with the underlying principles of agent-based models. We begin by highlighting the limi…
Introducing the -Cell: Unifying GARCH, Stochastic Fluctuations and Evolving Mechanisms in RNN-based Volatility Forecasting
German Rodikov, Nino Antulov-Fantulin
This paper introduces the -Cell, a novel Recurrent Neural Network (RNN) architecture for financial volatility modeling. Bridging traditional econometric approaches like GARCH wi…
Stretched and measured neural predictions of complex network dynamics
Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Differential equations are a ubiquitous tool to study dynamics, ranging from physical systems to complex systems, where a large number of agents interact through a graph with non-t…
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion
Vaibhav Krishna, Nino Antulov-Fantulin
Community Question Answering (CQA) websites have become valuable knowledge repositories where individuals exchange information by asking and answering questions. With an ever-incre…