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Yair Schiff
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Tabular transformers for modeling multivariate time series
I Padhi, Y Schiff, I Melnyk, M Rigotti, Y Mroueh, P Dognin, J Ross, R Nair, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
762021
Optimizing functionals on the space of probabilities with input convex neural networks
D Alvarez-Melis, Y Schiff, Y Mroueh
arXiv preprint arXiv:2106.00774, 2021
392021
Image captioning as an assistive technology: Lessons learned from vizwiz 2020 challenge
P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff, ...
Journal of Artificial Intelligence Research 73, 437-459, 2022
382022
Infodiffusion: Representation learning using information maximizing diffusion models
Y Wang, Y Schiff, A Gokaslan, W Pan, F Wang, C De Sa, V Kuleshov
International Conference on Machine Learning, 36336-36354, 2023
112023
Predicting deep neural network generalization with perturbation response curves
Y Schiff, B Quanz, P Das, PY Chen
Advances in Neural Information Processing Systems 34, 21176-21188, 2021
112021
Augmenting molecular deep generative models with topological data analysis representations
Y Schiff, V Chenthamarakshan, SC Hoffman, KN Ramamurthy, P Das
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
92022
Auditing and generating synthetic data with controllable trust trade-offs
B Belgodere, P Dognin, A Ivankay, I Melnyk, Y Mroueh, A Mojsilovic, ...
arXiv preprint arXiv:2304.10819, 2023
52023
Characterizing the latent space of molecular deep generative models with persistent homology metrics
Y Schiff, V Chenthamarakshan, KN Ramamurthy, P Das
arXiv preprint arXiv:2010.08548, 2020
52020
Semi-autoregressive energy flows: exploring likelihood-free training of normalizing flows
P Si, Z Chen, SS Sahoo, Y Schiff, V Kuleshov
International Conference on Machine Learning, 31732-31753, 2023
42023
Semi-parametric inducing point networks and neural processes
R Rastogi, Y Schiff, A Hacohen, Z Li, I Lee, Y Deng, MR Sabuncu, ...
arXiv preprint arXiv:2205.11718, 2022
42022
Caduceus: Bi-directional equivariant long-range dna sequence modeling
Y Schiff, CH Kao, A Gokaslan, T Dao, A Gu, V Kuleshov
arXiv preprint arXiv:2403.03234, 2024
32024
Learning with stochastic orders
C Domingo-Enrich, Y Schiff, Y Mroueh
arXiv preprint arXiv:2205.13684, 2022
22022
Alleviating noisy data in image captioning with cooperative distillation
P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff
arXiv preprint arXiv:2012.11691, 2020
22020
Advancing dna language models: The genomics long-range benchmark
CH Kao, E Trop, MK Polen, Y Schiff, BP de Almeida, A Gokaslan, ...
ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 2024
12024
Cloud-based real-time molecular screening platform with molformer
B Belgodere, V Chenthamarakshan, P Das, P Dognin, T Kurien, I Melnyk, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
12022
Gi and pal scores: Deep neural network generalization statistics
Y Schiff, B Quanz, P Das, PY Chen
arXiv preprint arXiv:2104.03469, 2021
12021
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Y Schiff, ZY Wan, JB Parker, S Hoyer, V Kuleshov, F Sha, ...
arXiv preprint arXiv:2402.04467, 2024
2024
Using global-shape representations to generate a deep generative model
P Das, YZ Schiff, EC Vijil, SC Hoffman, KN Ramamurthy
US Patent App. 17/805,481, 2023
2023
Determining analytical model accuracy with perturbation response
YZ Schiff, BL Quanz, P Das, PY Chen
US Patent App. 17/715,684, 2023
2023
Semi-Autoregressive Energy Flows: Towards Determinant-Free Training of Normalizing Flows
P Si, Z Chen, SS Sahoo, Y Schiff, V Kuleshov
2022
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Articles 1–20