Eric Nalisnick
Scholar

Eric Nalisnick

Google Scholar ID: cb1ZN7AAAAAJ
Assistant Professor, Johns Hopkins University
Machine Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
5,234
 
H-index
22
 
i10-index
33
 
Publications
20
 
Co-authors
35
list available
Contact
No contact links provided.
Publications
13 items
Joint Model and Data Sparsification via the Marginal Likelihood
2026
Cited
0
The Myth of Expert Specialization in MoEs: Why Routing Reflects Geometry, Not Necessarily Domain Expertise
2026
Cited
0
A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models
2026
Cited
0
Conformal Thinking: Risk Control for Reasoning on a Compute Budget
2026
Cited
1
Safe and Efficient In-Context Learning via Risk Control
2025
Cited
0
Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach
2025
Cited
0
Scalable Generative Modeling of Weighted Graphs
2025
Cited
0
Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
2025
Cited
0
Resume (English only)
Co-authors
35 total
Balaji Lakshminarayanan
Balaji Lakshminarayanan
Senior Staff Research Scientist at Google DeepMind
Padhraic Smyth
Padhraic Smyth
Distinguished Professor, Computer Science, University of California Irvine
José Miguel Hernández-Lobato
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Yee Whye Teh
Yee Whye Teh
Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind
George Papamakarios
George Papamakarios
Google DeepMind
Co-author 6
Co-author 6
James Urquhart Allingham
James Urquhart Allingham
Google DeepMind
Rajeev Verma
Rajeev Verma
PhD Student, University of Amsterdam