Brooks Paige
- An Introduction to Probabilistic Programming
2018/09/27 by Jan-Willem van de Meent, van de Meent, Jan-Willem, Brooks Paige +5 · 4 voices · 10 citations
#stat.ML #cs.AI #cs.LG #cs.PL
- Simulation Intelligence: Towards a New Generation of Scientific Methods
2021/12/06 by Alexander Lavin, David C. Krakauer, David Krakauer +49 · 2 voices · 7 citations
Decision Sciences · #Scientific Computing and Data Management #Simulation Techniques and Applications #cs.AI #cs.CE #cs.LG #cs.MS
- Grammar Variational Autoencoder
2017/03/06 by Matt J. Kusner, Kusner, Matt J., Brooks Paige +3 · 31 citations
Computer Science · Materials Science · #Topic Modeling #Generative Adversarial Networks and Image Synthesis #Machine Learning in Materials Science
- Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
2019/11/08 by Yuge Shi, Shi, Yuge, Siddharth, N. +4 · 23 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computational Physics and Python Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Music and Audio Processing #Natural Language Processing Techniques
- Learning Disentangled Representations with Semi-Supervised Deep Generative Models
2017/06/01 by Siddharth, N., Brooks Paige, Paige, Brooks +12 · 15 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Barking up the right tree: an approach to search over molecule synthesis DAGs
2020/12/21 by John Bradshaw, Brooks Paige, Bradshaw, John +7 · 8 citations
Materials Science · Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Protein Structure and Dynamics
- A Model to Search for Synthesizable Molecules
2019/06/12 by John Bradshaw, Brooks Paige, Bradshaw, John +7 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Microbial Metabolic Engineering and Bioproduction #Protein Structure and Dynamics
- Structured Disentangled Representations
2018/04/06 by Babak Esmaeili, Esmaeili, Babak, Hao Wu +14 · 3 citations
Computer Science · #Artificial Intelligence in Games #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gaussian Processes on Cellular Complexes
2023/11/02 by Mathieu Alain, So Takao, Alain, Mathieu +5 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
- Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
2024/07/26 by Seongho Son, Son, Seongho, William Bankes +7 · 3 citations
Business, Management and Accounting · Economics, Econometrics and Finance · #Consumer Market Behavior and Pricing #Economic and Environmental Valuation #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
2020/07/02 by Yuge Shi, Shi, Yuge, Brooks Paige +4 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
- I Don't Need u: Identifiable Non-Linear ICA Without Side Information
2021/06/09 by Matthew Willetts, Brooks Paige, Willetts, Matthew +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Fractal and DNA sequence analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
- Inducing Interpretable Representations with Variational Autoencoders
2016/11/22 by Siddharth, N., Brooks Paige, Alban Desmaison +12 · 1 citation
Computer Science · #Topic Modeling #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare
- AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
2024/07/25 by Liu, Chunan, Lilian Denzler, Denzler, Lilian +6 · 1 citation
Biochemistry, Genetics and Molecular Biology · Medicine · #FOS: Computer and information sciences #Glycosylation and Glycoproteins Research #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #vaccines and immunoinformatics approaches