ICLN: Input Convex Loss Network for Decision Focused Learning

no code implementations • 4 Mar 2024 • Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong Kim, Woo Chang Kim

In this paper, we propose Input Convex Loss Network (ICLN), a novel global surrogate loss which can be implemented in a general DFL paradigm.

Decision Making

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

no code implementations • 7 May 2023 • Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki

Moreover, current AI-text classifiers cannot reliably detect ChatGPT's use in school work, due to their propensity to classify human-written answers as AI-generated, as well as the ease with which AI-generated text can be edited to evade detection.

Cross-cultural Mood Perception in Pop Songs and its Alignment with Mood Detection Algorithms

no code implementations • 2 Aug 2021 • Harin Lee, Frank Hoeger, Marc Schoenwiesner, Minsu Park, Nori Jacoby

Do people from different cultural backgrounds perceive the mood in music the same way?

Cultural Vocal Bursts Intensity Prediction

Reconstructing Quintessence

no code implementations • 12 Jan 2021 • Minsu Park, Marco Raveri, Bhuvnesh Jain

We present an Effective Field Theory based reconstruction of quintessence models of dark energy directly from cosmological data.

Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Theory