Data Augmentation via Adversarial Networks for Optical Character Recognition/Conference Submissions. - Victor Storchan (ICDAR, 2019)

Explainable clustering and application to wealth management compliance. - Enguerrand Horel; Kay Giesecke; Victor Storchan; Naren Chittar (ICAIF, 2020)

On the current and emerging challenges of developing fair and ethical AI solutions in financial services. - Eren Kurshan; Jiahao Chen 001; Victor Storchan; Hongda Shen (ICAIF, 2021)

Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators. - Victor Storchan; Svitlana Vyetrenko; Tucker Balch (CoRR, 2021)

Seven challenges for harmonizing explainability requirements. - Jiahao Chen 001; Victor Storchan (CoRR, 2021)

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice. - Jiahao Chen 001; Victor Storchan; Eren Kurshan (CoRR, 2021)

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. - Pierre Colombo; Victor Pellegrain; Malik Boudiaf; Myriam Tami; Victor Storchan; Ismail Ben Ayed; Pablo Piantanida (EMNLP, 2023)

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. - Pierre Colombo; Victor Pellegrain; Malik Boudiaf; Victor Storchan; Myriam Tami; Ismail Ben Ayed; Céline Hudelot; Pablo Piantanida (CoRR, 2023)

Position: On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (ICML, 2024)

On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (CoRR, 2024)

Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence. - Adrien Basdevant; Camille François; Victor Storchan; Kevin Bankston; Ayah Bdeir; Brian Behlendorf; Mérouane Debbah; Sayash Kapoor; Yann LeCun; Mark Surman; Helen King-Turvey; Nathan Lambert 001; et al. (CoRR, 2024)

A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety. - Camille François; Ludovic Peran; Ayah Bdeir; Nouha Dziri; Will Hawkins; Yacine Jernite; Sayash Kapoor; Juliet Shen; Heidy Khlaaf; Kevin Klyman; Nik Marda; Marie Pellat; et al. (CoRR, 2025)