Abram L. Friesen
7 papers · 2011–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (14)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(15)
π₯
Mega-Team
(20)
π
Conference Pioneer
Conferences
NIPS (4)
ICLR (3)
Top co-authors
Keywords
few-shot learning
(1)
nonparametric bayesian
(1)
probabilistic modeling
(1)
bayesian inference
(1)
cognitive modeling
(1)
decision making
(1)
scene understanding
(1)
object recognition
(1)
sensory evidence
(1)
partially observable markov decision processes
(1)
image parsing
(1)
partially observable markov decision process
(1)
bayesian decision making
(1)
ideal observer model
(1)
ideal observer
(1)
perceptual inference
(1)
prior probability
(1)
reference frame
(1)
perception
(1)
temporal integration
(1)
Papers
BOND: Aligning LLMs with Best-of-N Distillation
ICLR 2025
On the role of planning in model-based deep reinforcement learning
ICLR 2021
Modular Meta-Learning with Shrinkage
NIPS 2020
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
ICLR 2018
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing
NIPS 2018
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
NIPS 2012
An ideal observer model for identifying the reference frame of objects
NIPS 2011