Jean Utke

Allstate (United States) — United States

Computer Science · Physical Sciences

14h-index1.7kcitations95works0.92yr avg
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Research Topics

Parallel Computing and Optimization Techniques(13), Cryospheric studies and observations(11), Numerical Methods and Algorithms(9), Domain Adaptation and Few-Shot Learning(8), Music and Audio Processing(7)

Publications95 total

Tricks and Plug-ins for Gradient Boosting in Image Classification
2025Open Access
Tricks and Plug-ins for Gradient Boosting with Transformers
2025Open Access
Tricks and Plug-ins for Gradient Boosting with Transformers
arXiv (Cornell University)·2025Open Access
BoostTransformer: Enhancing Transformer Models with Subgrid Selection and Importance Sampling
2025Open Access
Subgrid BoostCNN: Efficient Boosting of Convolutional Networks via Gradient-Guided Feature Selection
2025Open Access
Video to Video Generative Adversarial Network for Few-Shot Learning Based on Policy Gradient
IEEE Transactions on Neural Networks and Learning Systems·2025· 1 cited
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data
2024· 2 cited
Multimodal Learning on Temporal Data
2024
IIFE: Interaction Information Based Automated Feature Engineering
2024· 3 cited
Unsupervised Video Summarization via Iterative Training and Simplified GAN
Lecture notes in computer science·2024· 6 cited
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient
arXiv (Cornell University)·2024Open Access
IIFE: Interaction Information Based Automated Feature Engineering
arXiv (Cornell University)·2024Open Access
Corrigendum to “An inverse classification framework with limited budget and maximum number of perturbed samples” [Exp. Syst. Appl. 212 (2023) 118761]
Expert Systems with Applications·2024
Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types
2023
Unsupervised Video Summarization via Iterative Training and Simplified GAN
arXiv (Cornell University)·2023Open Access
Early Classifying Multimodal Sequences
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION·2023
Does Collaborative Human-LM Dialogue Generation Help Information Extraction from Human Dialogues?
arXiv (Cornell University)·2023· 2 citedOpen Access
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture
arXiv (Cornell University)·2023Open Access
Early Classifying Multimodal Sequences
arXiv (Cornell University)·2023Open Access
A Policy for Early Sequence Classification
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Paul Hovland(10), Uwe Naumann(10), Diego Klabjan(9), Laurent Hascoët(8), Andrew Lyons(5), Patrick Heimbach(4), Chris Hill(4), Christian Bischof(3), Mike Fagan(3), Michelle Mills Strout(3), Carl Wunsch(3), Eric Larour(3), Mathieu Morlighem(3), Mihai Anitescu(3), Jaehoon Koo(3), Andrea Treviño Gavito(3), Andreas Griewank(2), Nathan R. Tallent(2), Andrea Walther(2), B. M. Csathó(2)