Sharad Vikram
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Topic Modeling, Generative Adversarial Networks and Image Synthesis, Genomics and Rare Diseases, Natural Language Processing Techniques
Most-Cited Works
- → Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context(2024)276 cited
- → SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning(2018)130 cited
- → What Are Bayesian Neural Network Posteriors Really Like?(2021)71 cited
- Handwriting and Gestures in the Air, Recognizing on the Fly(2013)
- What Are Bayesian Neural Network Posteriors Really Like(2021)
- → Writing and sketching in the air, recognizing and controlling on the fly(2013)30 cited
- → Generative Concatenative Nets Jointly Learn to Write and Classify Reviews(2015)30 cited
- → Evaluating and improving the reliability of gas-phase sensor system calibrations across new locations for ambient measurements and personal exposure monitoring(2019)27 cited
- Capturing Meaning in Product Reviews with Character-Level Generative Text Models.(2015)
- Estimating Reactions and Recommending Products with Generative Models of Reviews(2017)