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researcher

Jakob Heiss

UC Berkeley

14 papers hereh-index 6113 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author8

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • stat.ML4
  • cs.GT3
  • math.OC1
  • stat.AP1
affiliations
  • UC Berkeley
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedMonotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment

7 citations · 23 across the 14 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

stat.AP2025

Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs

Anja Adamov, Markus Chardonnet, Florian Krach +3

Detecting anomalies in irregularly sampled multi-variate time-series is challenging, especially in data-scarce settings. Here we introduce an anomaly detection framework for irregu…

stat.ML2025

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

Ilia Azizi, Juraj Bodik, Jakob Heiss +1

Accurate uncertainty quantification is critical for reliable predictive modeling. Existing methods typically address either aleatoric uncertainty due to measurement noise or episte…

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