A Categorical Approach to Cyclic Cohomology of Quasi-Hopf Algebras and Hopf Algebroids. - Ivan Kobyzev; Ilya Shapiro (Appl. Categorical Struct., 2019)

Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. - Seyed Mehran Kazemi; Rishab Goel; Kshitij Jain 001; Ivan Kobyzev; Akshay Sethi; Peter Forsyth; Pascal Poupart (CoRR, 2019)

Tails of Triangular Flows. - Priyank Jaini; Ivan Kobyzev; Marcus A. Brubaker; Yaoliang Yu (CoRR, 2019)

A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing. - Alexandrou Serb; Ivan Kobyzev; Jiaqi Wang 001; Themis Prodromakis (CoRR, 2019)

Normalizing Flows: Introduction and Ideas. - Ivan Kobyzev; Simon Prince; Marcus A. Brubaker (CoRR, 2019)

Tails of Lipschitz Triangular Flows. - Priyank Jaini; Ivan Kobyzev; Yaoliang Yu; Marcus A. Brubaker (ICML, 2020)

Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory. - Nabiha Asghar; Ivan Kobyzev; Jesse Hoey; Pascal Poupart; Muhammad Bilal Sheikh (CoRR, 2020)

Representation Learning for Dynamic Graphs: A Survey. - Seyed Mehran Kazemi; Rishab Goel; Kshitij Jain 001; Ivan Kobyzev; Akshay Sethi; Peter Forsyth; Pascal Poupart (J. Mach. Learn. Res., 2020)

Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. - Vikash Balasubramanian; Ivan Kobyzev; Hareesh Bahuleyan; Ilya Shapiro; Olga Vechtomova (EACL, 2021)

A Short Study on Compressing Decoder-Based Language Models. - Tianda Li; Yassir El Mesbahi; Ivan Kobyzev; Ahmad Rashid; Atif Mahmud; Nithin Anchuri; Habib Hajimolahoseini; Yang Liu; Mehdi Rezagholizadeh (CoRR, 2021)

Equivariant Discrete Normalizing Flows. - Avishek Joey Bose; Ivan Kobyzev (CoRR, 2021)

Normalizing Flows: An Introduction and Review of Current Methods. - Ivan Kobyzev; Simon J. D. Prince; Marcus A. Brubaker (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. - Aref Jafari; Ivan Kobyzev; Mehdi Rezagholizadeh; Pascal Poupart; Ali Ghodsi 001 (EMNLP (Findings), 2022)

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. - Peng Lu; Ivan Kobyzev; Mehdi Rezagholizadeh; Ahmad Rashid; Ali Ghodsi 001; Philippe Langlais (EMNLP (Findings), 2022)

Learning functions on multiple sets using multi-set transformers. - Kira A. Selby; Ahmad Rashid; Ivan Kobyzev; Mehdi Rezagholizadeh; Pascal Poupart (UAI, 2022)

Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. - Ivan Kobyzev; Aref Jafari; Mehdi Rezagholizadeh; Tianda Li; Alan Do-Omri; Peng Lu; Ali Ghodsi 001; Pascal Poupart (CoRR, 2022)

KronA: Parameter Efficient Tuning with Kronecker Adapter. - Ali Edalati; Marzieh S. Tahaei; Ivan Kobyzev; Vahid Partovi Nia; James J. Clark; Mehdi Rezagholizadeh (CoRR, 2022)

Attribute Controlled Dialogue Prompting. - Runcheng Liu; Ahmad Rashid; Ivan Kobyzev; Mehdi Rezagholizadeh; Pascal Poupart (ACL (Findings), 2023)

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. - Peng Lu; Ahmad Rashid; Ivan Kobyzev; Mehdi Rezagholizadeh; Philippe Langlais (ACL (Findings), 2023)

Do we need Label Regularization to Fine-tune Pre-trained Language Models? - Ivan Kobyzev; Aref Jafari; Mehdi Rezagholizadeh; Tianda Li; Alan Do-Omri; Peng Lu; Pascal Poupart; Ali Ghodsi 001 (EACL, 2023)

DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. - Mojtaba Valipour; Mehdi Rezagholizadeh; Ivan Kobyzev; Ali Ghodsi 001 (EACL, 2023)

Efficient Classification of Long Documents via State-Space Models. - Peng Lu; Suyuchen Wang; Mehdi Rezagholizadeh; Bang Liu; Ivan Kobyzev (EMNLP, 2023)

Mathematical Challenges in Deep Learning. - Vahid Partovi Nia; Guojun Zhang; Ivan Kobyzev; Michael R. Metel; Xinlin Li; Ke Sun 013; Sobhan Hemati; Masoud Asgharian; Linglong Kong; Wulong Liu; Boxing Chen (CoRR, 2023)

Hyperparameter Optimization for Large Language Model Instruction-Tuning. - Christophe Tribes; Sacha Benarroch-Lelong; Peng Lu; Ivan Kobyzev (CoRR, 2023)

OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. - Chenyang Huang 001; Abbas Ghaddar; Ivan Kobyzev; Mehdi Rezagholizadeh; Osmar Zaïane; Boxing Chen (ACL (Findings), 2024)

Resonance RoPE: Improving Context Length Generalization of Large Language Models. - Suyuchen Wang; Ivan Kobyzev; Peng Lu; Mehdi Rezagholizadeh; Bang Liu (ACL (Findings), 2024)

Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. - Michael R. Metel; Peng Lu; Boxing Chen; Mehdi Rezagholizadeh; Ivan Kobyzev (EMNLP (Findings), 2024)

ReGLA: Refining Gated Linear Attention. - Peng Lu; Ivan Kobyzev; Mehdi Rezagholizadeh; Boxing Chen; Philippe Langlais (NAACL (Long Papers), 2025)