Summary of Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens, by Lijie Fan et al.
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokensby Lijie Fan, Tianhong Li, Siyang Qin,…
Summary of Hart: Efficient Visual Generation with Hybrid Autoregressive Transformer, by Haotian Tang et al.
HART: Efficient Visual Generation with Hybrid Autoregressive Transformerby Haotian Tang, Yecheng Wu, Shang Yang, Enze…
Summary of A Simple Baseline For Predicting Events with Auto-regressive Tabular Transformers, by Alex Stein and Samuel Sharpe and Doron Bergman and Senthil Kumar and C. Bayan Bruss and John Dickerson and Tom Goldstein and Micah Goldblum
A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformersby Alex Stein, Samuel Sharpe, Doron…
Summary of A Practical Approach to Causal Inference Over Time, by Martina Cinquini et al.
A Practical Approach to Causal Inference over Timeby Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel…
Summary of Coupled Autoregressive Active Inference Agents For Control Of Multi-joint Dynamical Systems, by Tim N. Nisslbeck et al.
Coupled autoregressive active inference agents for control of multi-joint dynamical systemsby Tim N. Nisslbeck, Wouter…
Summary of Dynamic Estimation Of Learning Rates Using a Non-linear Autoregressive Model, by Ramin Okhrati
Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Modelby Ramin OkhratiFirst submitted to arxiv…
Summary of Identification Of Non-causal Graphical Models, by Junyao You et al.
Identification of Non-causal Graphical Modelsby Junyao You, Mattia ZorziFirst submitted to arxiv on: 12 Oct…
Summary of Toward Guidance-free Ar Visual Generation Via Condition Contrastive Alignment, by Huayu Chen et al.
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignmentby Huayu Chen, Hang Su, Peize Sun,…
Summary of Deeposets: Non-autoregressive In-context Learning Of Supervised Learning Operators, by Shao-ting Chiu et al.
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operatorsby Shao-Ting Chiu, Junyuan Hong, Ulisses Braga-NetoFirst submitted…
Summary of Mvg-crps: a Robust Loss Function For Multivariate Probabilistic Forecasting, by Vincent Zhihao Zheng et al.
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecastingby Vincent Zhihao Zheng, Lijun SunFirst submitted…