Summary of Zero-shot Forecasting Of Chaotic Systems, by Yuanzhao Zhang and William Gilpin
Zero-shot forecasting of chaotic systemsby Yuanzhao Zhang, William GilpinFirst submitted to arxiv on: 24 Sep…
Summary of Fine-tuning a Time Series Foundation Model with Wasserstein Loss, by Andrei Chernov
Fine-Tuning a Time Series Foundation Model with Wasserstein Lossby Andrei ChernovFirst submitted to arxiv on:…
Summary of Echoatt: Attend, Copy, Then Adjust For More Efficient Large Language Models, by Hossein Rajabzadeh et al.
EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Modelsby Hossein Rajabzadeh, Aref Jafari,…
Summary of Memeclip: Leveraging Clip Representations For Multimodal Meme Classification, by Siddhant Bikram Shah et al.
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classificationby Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary,…
Summary of Evaluating the Performance and Robustness Of Llms in Materials Science Q&a and Property Predictions, by Hongchen Wang et al.
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictionsby Hongchen…
Summary of Deep Learning For Fast Segmentation and Critical Dimension Metrology & Characterization Enabling Ar/vr Design and Fabrication, by Kundan Chaudhary et al.
Deep learning for fast segmentation and critical dimension metrology & characterization enabling AR/VR design and…
Summary of Chemeval: a Comprehensive Multi-level Chemical Evaluation For Large Language Models, by Yuqing Huang et al.
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Modelsby Yuqing Huang, Rongyang Zhang, Xuesong…
Summary of Towards Time Series Reasoning with Llms, by Winnie Chow et al.
Towards Time Series Reasoning with LLMsby Winnie Chow, Lauren Gardiner, Haraldur T. Hallgrímsson, Maxwell A.…
Summary of Implicit Reasoning in Deep Time Series Forecasting, by Willa Potosnak et al.
Implicit Reasoning in Deep Time Series Forecastingby Willa Potosnak, Cristian Challu, Mononito Goswami, Michał Wiliński,…
Summary of Prose-fd: a Multimodal Pde Foundation Model For Learning Multiple Operators For Forecasting Fluid Dynamics, by Yuxuan Liu et al.
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamicsby Yuxuan…