Summary of Hippo-kan: Efficient Kan Model For Time Series Analysis, by Sangjong Lee et al.
HiPPO-KAN: Efficient KAN Model for Time Series Analysisby SangJong Lee, Jin-Kwang Kim, JunHo Kim, TaeHan…
Summary of Tensor Decomposition with Unaligned Observations, by Runshi Tang and Tamara Kolda and Anru R. Zhang
Tensor Decomposition with Unaligned Observationsby Runshi Tang, Tamara Kolda, Anru R. ZhangFirst submitted to arxiv…
Summary of Personalized Adaptation Via In-context Preference Learning, by Allison Lau et al.
Personalized Adaptation via In-Context Preference Learningby Allison Lau, Younwoo Choi, Vahid Balazadeh, Keertana Chidambaram, Vasilis…
Summary of Similarity-dissimilarity Loss with Supervised Contrastive Learning For Multi-label Classification, by Guangming Huang et al.
Similarity-Dissimilarity Loss with Supervised Contrastive Learning for Multi-label Classificationby Guangming Huang, Yunfei Long, Cunjin Luo,…
Summary of Helm: Hierarchical Encoding For Mrna Language Modeling, by Mehdi Yazdani-jahromi and Mangal Prakash and Tommaso Mansi and Artem Moskalev and Rui Liao
HELM: Hierarchical Encoding for mRNA Language Modelingby Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi, Artem Moskalev,…
Summary of Devil in the Tail: a Multi-modal Framework For Drug-drug Interaction Prediction in Long Tail Distinction, by Liangwei Nathan Zheng et al.
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinctionby…
Summary of The Persian Rug: Solving Toy Models Of Superposition Using Large-scale Symmetries, by Aditya Cowsik et al.
The Persian Rug: solving toy models of superposition using large-scale symmetriesby Aditya Cowsik, Kfir Dolev,…
Summary of On the Potential Of Optimal Transport in Geospatial Data Science, by Nina Wiedemann et al.
On the potential of Optimal Transport in Geospatial Data Scienceby Nina Wiedemann, Théo Uscidda, Martin…
Summary of Towards Calibrated Losses For Adversarial Robust Reject Option Classification, by Vrund Shah et al.
Towards Calibrated Losses for Adversarial Robust Reject Option Classificationby Vrund Shah, Tejas Chaudhari, Naresh ManwaniFirst…
Summary of Adversarially Robust Out-of-distribution Detection Using Lyapunov-stabilized Embeddings, by Hossein Mirzaei et al.
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddingsby Hossein Mirzaei, Mackenzie W. MathisFirst submitted to arxiv…