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Devon Hjelm
Observed names:
Devon R. Hjelm,
Hjelm, Devon,
Hjelm, R. Devon,
R Devon Hjelm
Institution:
Apple (United States)
Observed institutions:
Microsoft (United States),
Mind Research Network,
University of New Mexico,
University of Oxford,
Apple (United States)
OpenAlex ID:
A5062650781
Mutual Information Neural Estimation.
2018
·
Mohamed Ishmael Belghazi
, Aristide Baratin
, et al.
·
International Conference on Machine Learning
·
920
Deep learning for neuroimaging: a validation study
2014
·
Sergey M. Plis
, Devon R. Hjelm
, et al.
·
Frontiers in Neuroscience
·
642
PDF
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia
2014
·
Qingbao Yu
, Erik B. Erhardt
, et al.
·
NeuroImage
·
239
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
2019
·
Alaaeldin El-Nouby
, Shikhar Sharma
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
101
PDF
Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia
2018
·
Sergey M. Plis
, Md Faijul Amin
, et al.
·
NeuroImage
·
56
Pretraining Representations for Data-Efficient Reinforcement Learning
2021
·
Schwarzer, Max
, Rajkumar, Nitarshan
, et al.
·
arXiv (Cornell University)
·
52
PDF
Large Language Models as Generalizable Policies for Embodied Tasks
2023
·
Szot, Andrew
, Schwarzer, Max
, et al.
·
arXiv (Cornell University)
·
45
PDF
Locality and compositionality in zero-shot learning
2019
·
Sylvain, Tristan
, Petrini, Linda
, et al.
·
arXiv (Cornell University)
·
40
PDF
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons
2025
·
Andrew Szot
, Bogdan Mazoure
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
30
PDF
Grounding Multimodal Large Language Models in Actions
2024
·
Andrew Szot
, Bogdan Mazoure
, et al.
·
neural information processing systems
·
18
PDF
CMIM: Cross-Modal Information Maximization For Medical Imaging
2021
·
Tristan Sylvain
, Francis Dutil
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
10
A deep-learning approach to translate between brain structure and functional connectivity
2017
·
Vince D. Calhoun
, Md Faijul Amin
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
10
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
2017
·
Lamb, Alex
, Hjelm, Devon
, et al.
·
arXiv (Cornell University)
·
9
PDF
On the Modeling Capabilities of Large Language Models for Sequential Decision Making
2024
·
Klissarov, Martin
, Hjelm, Devon
, et al.
·
arXiv (Cornell University)
·
8
PDF
Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data
2016
·
Hjelm, R. Devon
, Plis, Sergey M.
, et al.
·
arXiv (Cornell University)
·
8
PDF
The Design Space of Tri-Modal Masked Diffusion Models
2026
·
Bethune, Louis
, Turrisi, Victor
, et al.
·
arXiv (Cornell University)
·
7
PDF
Value function estimation using conditional diffusion models for control
2023
·
Mazoure, Bogdan
, Talbott, Walter
, et al.
·
arXiv (Cornell University)
·
7
PDF
Recurrent Neural Networks for Spatiotemporal Dynamics of Intrinsic Networks from fMRI Data
2016
·
Devon Hjelm
, Sergey M. Plis
, et al.
·
arXiv (Cornell University)
·
7
Poly-View Contrastive Learning
2024
·
Shidani, Amitis
, Hjelm, Devon
, et al.
·
arXiv (Cornell University)
·
4
PDF
Test Sample Accuracy Scales with Training Sample Density in Neural Networks
2021
·
Ji, Xu
, Pascanu, Razvan
, et al.
·
arXiv (Cornell University)
·
3
PDF
Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach
2016
·
Md Faijul Amin
, Sergey M. Plis
, et al.
·
IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
·
3
Deep independence network analysis of structural brain imaging: A simulation study
2015
·
Eduardo Castro
, Devon Hjelm
, et al.
·
Machine learning for signal processing ...
·
3
GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
2025
·
Sapora, Silvia
, Hjelm, Devon
, et al.
·
arXiv (Cornell University)
PDF
Learning Generative Models with Locally Disentangled Latent Factors
2018
·
Brady Neal
, Alex Lamb
, et al.
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Works count:
25
Citation count:
2,222
H-index:
10
I10-index:
12
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