Wiedemer, Thaddäus

1. Video models are zero-shot learners and reasoners
   2025/09/24 by Thaddäus Wiedemer, Yuxuan Li, Wiedemer, Thaddäus +15 · 7 voices · 55 citations
   #cs.LG #cs.AI #cs.CV #cs.RO
2. Compositional Generalization from First Principles
   2023/07/10 by Wiedemer, Thaddäus, Mayilvahanan, Prasanna, Bethge, Matthias +1 · 8 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Provable Compositional Generalization for Object-Centric Learning
   2023/10/09 by Wiedemer, Thaddäus, Brady, Jack, Panfilov, Alexander +3 · 8 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
   2023/10/14 by P. Mayilvahanan, Mayilvahanan, Prasanna, Thaddäus Wiedemer +7 · 1 voice · 7 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
5. In Search of Forgotten Domain Generalization
   2024/10/10 by P. Mayilvahanan, R. Zimmermann, Mayilvahanan, Prasanna +11 · 4 citations
   Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Reservoir Engineering and Simulation Methods
6. LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
   2025/02/17 by P. Mayilvahanan, Mayilvahanan, Prasanna, Thaddäus Wiedemer +6 · 4 citations
   Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FinTech, Crowdfunding, Digital Finance #Machine Learning (cs.LG)
7. VGGSounder: Audio-Visual Evaluations for Foundation Models
   2025/08/11 by Zverev, Daniil, Wiedemer, Thaddäus, Prabhu, Ameya +3 · 4 citations
   #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Multimedia (cs.MM) #Sound (cs.SD) #electronic engineering #information engineering
8. Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks
   2025/02/17 by Wiedemer, Thaddäus, Sharma, Yash, Prabhu, Ameya +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)