Publications

CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- - Isha Puri
  - Amit Dhurandhar
  - et al.
- 2021
- NeurIPS 2021
Conference paper
Faster Lattice-Based KEMs via a Generic Fujisaki-Okamoto Transform Using Prefix Hashing
- - Julien Duman
  - Kathrin Hövelmanns
  - et al.
- 2021
- CCS 2021
Conference paper
On the (in)security of ElGamal in OpenPGP
- - Luca De Feo
  - Bertram Poettering
  - et al.
- 2021
- CCS 2021
Conference paper
Efficient Scaling of Dynamic Graph Neural Networks
- - Venkatesan T. Chakaravarthy
  - Shivmaran S. Pandian
  - et al.
- 2021
- SC 2021
Conference paper
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
- - Zheng Chai
  - Yujing Chen
  - et al.
- 2021
- SC 2021
Conference paper
Generalizable Coordination of Large Multiscale Workflows: Challenges and Learnings at Scale
- - Harsh Bhatia
  - Francesco Di Natale
  - et al.
- 2021
- SC 2021
Conference paper
On the Equivalence between Neural Network and Support Vector Machine
- - Yilan Chen
  - Wei Huang
  - et al.
- 2021
- NeurIPS 2021
Conference paper
Pipeline Combinators for Gradual AutoML
- - Guillaume Baudart
  - Martin Hirzel
  - et al.
- 2021
- NeurIPS 2021
Conference paper
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
- - Quoc Tran-Dinh
  - Nhan Pham
  - et al.
- 2021
- NeurIPS 2021
Conference paper
Serving Deep Learning Models with Deduplication from Relational Databases
- - Lixi Zhou
  - Jiaqing Chen
  - et al.
- 2022
- VLDB 2022
Conference paper