Eric Nalisnick
Johns Hopkins University(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Topic Modeling, Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, Machine Learning and Algorithms
Most-Cited Works
- → Normalizing Flows for Probabilistic Modeling and Inference(2019)343 cited
- → Improving Document Ranking with Dual Word Embeddings(2016)159 cited
- → A Dual Embedding Space Model for Document Ranking(2016)103 cited
- Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.(2019)
- → Extracting Sentiment Networks from Shakespeare's Plays(2013)61 cited
- → Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality(2019)58 cited
- → Do Deep Generative Models Know What They Don't Know?(2018)57 cited
- → Stick-Breaking Variational Autoencoders(2016)47 cited
- → Bayesian Batch Active Learning as Sparse Subset Approximation(2019)43 cited
- Character-to-Character Sentiment Analysis in Shakespeare's Plays(2013)