MARS: Meta-learning as Score Matching in the Function Space. - Krunoslav Lehman Pavasovic; Jonas Rothfuss; Andreas Krause 001 (ICLR, 2023)

Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent. - Krunoslav Lehman Pavasovic; Alain Durmus; Umut Simsekli (CoRR, 2023)

The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models. - Anaelia Ovalle; Krunoslav Lehman Pavasovic; Louis Martin; Luke Zettlemoyer; Eric Michael Smith; Adina Williams; Levent Sagun (CoRR, 2024)

The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models. - Anaelia Ovalle; Krunoslav Lehman Pavasovic; Louis Martin; Luke Zettlemoyer; Eric Michael Smith; Kai-Wei Chang; Adina Williams; Levent Sagun (FAccT, 2025)

A Differentiable Rank-Based Objective for Better Feature Learning. - Krunoslav Lehman Pavasovic; Giulio Biroli; Levent Sagun (ICLR, 2025)

Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations. - Krunoslav Lehman Pavasovic; Jakob Verbeek; Giulio Biroli; Marc Mézard (CoRR, 2025)

A Differentiable Rank-Based Objective For Better Feature Learning. - Krunoslav Lehman Pavasovic; David Lopez-Paz; Giulio Biroli; Levent Sagun (CoRR, 2025)