Summary of Advancing Retail Data Science: Comprehensive Evaluation Of Synthetic Data, by Yu Xia et al.
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Databy Yu Xia, Chi-Hua Wang, Joshua Mabry,…
Summary of Patholm: Identifying Pathogenicity From the Dna Sequence Through the Genome Foundation Model, by Sajib Acharjee Dip et al.
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Modelby Sajib Acharjee Dip,…
Summary of Conditional Score-based Diffusion Models For Solving Inverse Problems in Mechanics, by Agnimitra Dasgupta and Harisankar Ramaswamy and Javier Murgoitio-esandi and Ken Foo and Runze Li and Qifa Zhou and Brendan Kennedy and Assad Oberai
Conditional score-based diffusion models for solving inverse problems in mechanicsby Agnimitra Dasgupta, Harisankar Ramaswamy, Javier…
Summary of Javabench: a Benchmark Of Object-oriented Code Generation For Evaluating Large Language Models, by Jialun Cao and Zhiyong Chen and Jiarong Wu and Shing-chi Cheung and Chang Xu
JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Modelsby Jialun Cao, Zhiyong…
Summary of Meent: Differentiable Electromagnetic Simulator For Machine Learning, by Yongha Kim et al.
Meent: Differentiable Electromagnetic Simulator for Machine Learningby Yongha Kim, Anthony W. Jung, Sanmun Kim, Kevin…
Summary of Pufferlib: Making Reinforcement Learning Libraries and Environments Play Nice, by Joseph Suarez
PufferLib: Making Reinforcement Learning Libraries and Environments Play Niceby Joseph SuarezFirst submitted to arxiv on:…
Summary of Reconciling Kaplan and Chinchilla Scaling Laws, by Tim Pearce et al.
Reconciling Kaplan and Chinchilla Scaling Lawsby Tim Pearce, Jinyeop SongFirst submitted to arxiv on: 12…
Summary of Rating Multi-modal Time-series Forecasting Models (mm-tsfm) For Robustness Through a Causal Lens, by Kausik Lakkaraju et al.
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lensby Kausik Lakkaraju, Rachneet…
Summary of Scalable Training Of Trustworthy and Energy-efficient Predictive Graph Foundation Models For Atomistic Materials Modeling: a Case Study with Hydragnn, by Massimiliano Lupo Pasini et al.
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A…
Summary of Human-level Molecular Optimization Driven by Mol-gene Evolution, By Jiebin Fang (1 and 2) et al.
Human-level molecular optimization driven by mol-gene evolutionby Jiebin Fang, Churu Mao, Yuchen Zhu, Xiaoming Chen,…