ICML 2021 Workshop INNF Submissions

$\alpha$-VAEs : Optimising variational inference by learning data-dependent divergence skew
Jacob Deasy, Tom Andrew McIver, Nikola Simidjievski, Pietro Lio
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Distilling the Knowledge from Conditional Normalizing Flows
Dmitry Baranchuk, Vladimir Aliev, Artem Babenko
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Diffusion Priors In Variational Autoencoders
Antoine Wehenkel, Gilles Louppe
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Challenges for BBVI with Normalizing Flows
Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe, Michael Riis Andersen, Jonathan H. Huggins, Aki Vehtari
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models
Daniel D. Johnson, Jacob Austin, Rianne van den Berg, Daniel Tarlow
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis
Kevin J. Shih, Rafael Valle, Rohan Badlani, Adrian Lancucki, Wei Ping, Bryan Catanzaro
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows
Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Multi-Scale Continuous Normalizing Flows
Anonymous
- 02 Jun 2021 (modified: 05 May 2023)
- ICML 2021 Workshop INNF Blind Submission
- Readers: Everyone
Improving Continuous Normalizing Flows using a Multi-Resolution Framework
Vikram Voleti, Chris Finlay, Adam M Oberman, Christopher Pal
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Equivariant Manifold Flows
Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
- Published: 15 Jun 2021, Last Modified: 22 Oct 2023
- INNF+ 2021 poster
- Readers: Everyone
Agent Forecasting at Flexible Horizons using ODE Flows
Alexander Radovic, Jiawei He, Janahan Ramanan, Marcus A Brubaker, Andreas Lehrmann
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Conformal Embedding Flows: Tractable Density Estimation on Learned Manifolds
Brendan Leigh Ross, Jesse C Cresswell
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Andrej Risteski, Divyansh Pareek
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Why be adversarial? Let's cooperate!: Cooperative Dataset Alignment via JSD Upper Bound
Wonwoong Cho, Ziyu Gong, David I. Inouye
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Sliced Iterative Normalizing Flows
Biwei Dai, Uros Seljak
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Discrete Tree Flows via Tree-Structured Permutations
Mai Elkady, Jim Lim, David I. Inouye
- Published: 15 Jun 2021, Last Modified: 22 Oct 2023
- INNF+ 2021 poster
- Readers: Everyone
PNF: Progressive normalizing flows
Anonymous
- 02 Jun 2021 (modified: 05 May 2023)
- ICML 2021 Workshop INNF Blind Submission
- Readers: Everyone
Representational aspects of depth and conditioning in normalizing flows
Frederic Koehler, Viraj Mehta, Andrej Risteski
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Diffeomorphic Explanations with Normalizing Flows
Ann-Kathrin Dombrowski, Jan E Gerken, Pan Kessel
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 contributedtalk
- Readers: Everyone
Deep Signature Statistics for Likelihood-free Time-series Models
Joel Dyer, Patrick W Cannon, Sebastian M Schmon
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone
Interpreting diffusion score matching using normalizing flow
Wenbo Gong, Yingzhen Li
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Rectangular Flows for Manifold Learning
Anthony L. Caterini, Gabriel Loaiza-Ganem, Geoff Pleiss, John Patrick Cunningham
- Published: 15 Jun 2021, Last Modified: 22 Oct 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Discrete Denoising Flows
Alexandra Lindt, Emiel Hoogeboom
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 spotlighttalk
- Readers: Everyone
On the expressivity of bi-Lipschitz normalizing flows
Alexandre Verine, Yann Chevaleyre, Fabrice Rossi, benjamin negrevergne
- Published: 15 Jun 2021, Last Modified: 05 May 2023
- INNF+ 2021 poster
- Readers: Everyone