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Schiff, Yair
30  Ergebnisse:
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1

Cloud-Based Real-Time Molecular Screening Platform with Mol..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Belgodere, Brian ; Chenthamarakshan, Vijil ; Das, Payel... - p. 641-644 , 2023
Link: https://doi.org/10.1007/..
 
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2

Augmenting Molecular Deep Generative Models with Topologica..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Schiff, Yair ; Chenthamarakshan, Vijil ; Hoffman, Samuel C... - p. 3783-3787 , 2022
Link: https://doi.org/10.1109/..
 
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3

Tabular Transformers for Modeling Multivariate Time Series:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Padhi, Inkit ; Schiff, Yair ; Melnyk, Igor... - p. 3565-3569 , 2021
Link: https://doi.org/10.1109/..
 
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4

InfoDiffusion: Representation Learning Using Information Ma..:

Wang, Yingheng ; Schiff, Yair ; Gokaslan, Aaron...
http://arxiv.org/abs/2306.08757.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Auditing and Generating Synthetic Data with Controllable Tr..:

Belgodere, Brian ; Dognin, Pierre ; Ivankay, Adam...
http://arxiv.org/abs/2304.10819.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Semi-Autoregressive Energy Flows: Exploring Likelihood-Free..:

Si, Phillip ; Chen, Zeyi ; Sahoo, Subham Sekhar..
http://arxiv.org/abs/2206.06672.  , 2022
Link: http://arxiv.org/abs/220..
 
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7

Semi-Parametric Inducing Point Networks and Neural Processe:

Rastogi, Richa ; Schiff, Yair ; Hacohen, Alon...
http://arxiv.org/abs/2205.11718.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Learning with Stochastic Orders:

Domingo-Enrich, Carles ; Schiff, Yair ; Mroueh, Youssef
http://arxiv.org/abs/2205.13684.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Cloud-Based Real-Time Molecular Screening Platform with Mol..:

Belgodere, Brian ; Chenthamarakshan, Vijil ; Das, Payel...
http://arxiv.org/abs/2208.06665.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Predicting Deep Neural Network Generalization with Perturba..:

Schiff, Yair ; Quanz, Brian ; Das, Payel.
http://arxiv.org/abs/2106.04765.  , 2021
Link: http://arxiv.org/abs/210..
 
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11

Augmenting Molecular Deep Generative Models with Topologica..:

Schiff, Yair ; Chenthamarakshan, Vijil ; Hoffman, Samuel..
http://arxiv.org/abs/2106.04464.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

Optimizing Functionals on the Space of Probabilities with I..:

Alvarez-Melis, David ; Schiff, Yair ; Mroueh, Youssef
http://arxiv.org/abs/2106.00774.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Gi and Pal Scores: Deep Neural Network Generalization Stati..:

Schiff, Yair ; Quanz, Brian ; Das, Payel.
http://arxiv.org/abs/2104.03469.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Alleviating Noisy Data in Image Captioning with Cooperative..:

Dognin, Pierre ; Melnyk, Igor ; Mroueh, Youssef...
http://arxiv.org/abs/2012.11691.  , 2020
Link: http://arxiv.org/abs/201..
 
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15

Image Captioning as an Assistive Technology: Lessons Learne..:

Dognin, Pierre ; Melnyk, Igor ; Mroueh, Youssef...
http://arxiv.org/abs/2012.11696.  , 2020
Link: http://arxiv.org/abs/201..
 
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