Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- Vijay E
- Arindam Jati
- et al.
- 2024
- NeurIPS 2024
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400 results for Generative AI
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
- Topic
3D-LLM: Injecting the 3D World into Large Language Models
- Yining Hong
- Haoyu Zhen
- et al.
- 2023
- NeurIPS 2023
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
- Ella Neeman
- Roee Aharoni
- et al.
- 2023
- ACL 2023
Data-Efficient Graph Grammar Learning for Molecular Generation
- Minghao Guo
- Veronika Thost
- et al.
- 2022
- ICLR 2022
Separation results between fixed-kernel and feature-learning probability metrics
- Carles Domingo-Enrich
- Youssef Mroueh
- 2021
- NeurIPS 2021
Targeted Neural Dynamical Modeling
- Cole Hurwitz
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
- Kai Xu
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
- Yue Cao
- Payel Das
- et al.
- 2021
- ICML 2021
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020