activity
20182026
most citedOn the Limits to Multi-Modal Popularity Prediction on Instagram -- A New Robust, Efficient and Explainable Baseline

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production

Renjini R. Nair, Damian K. Kowalczyk, Marco Gaudesi +1

Many applications today use large language models for code generation; however, production systems have strict latency requirements that can be difficult to meet with large models.…

cs.LG2022

CASPR: Customer Activity Sequence-based Prediction and Representation

Pin-Jung Chen, Sahil Bhatnagar, Sagar Goyal +2

Tasks critical to enterprise profitability, such as customer churn prediction, fraudulent account detection or customer lifetime value estimation, are often tackled by models train…

cs.CV2020★ 3 cited

On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New Robust, Efficient and Explainable Baseline

Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen

Our global population contributes visual content on platforms like Instagram, attempting to express themselves and engage their audiences, at an unprecedented and increasing rate.…

cs.SI2019★ 2 cited

The Complexity of Social Media Response: Statistical Evidence For One-Dimensional Engagement Signal in Twitter

Damian Konrad Kowalczyk, Lars Kai Hansen

Many years after online social networks exceeded our collective attention, social influence is still built on attention capital. Quality is not a prerequisite for viral spreading,…

cs.SI2018★ 1 cited

Scalable Privacy-Compliant Virality Prediction on Twitter

Damian Konrad Kowalczyk, Jan Larsen

The digital town hall of Twitter becomes a preferred medium of communication for individuals and organizations across the globe. Some of them reach audiences of millions, while oth…