CLSciSumm Shared Task: On the Contribution of Similarity measure and Natural Language Processing Features for Citing Problem. - Elnaz Davoodi; Kanika Madan; Jia Gu (BIRNDL@SIGIR, 2018)

Information Extraction/Entailment of Common Law and Civil Code. - John Hudzina; Kanika Madan; Dhivya Chinnappa; Jinane Harmouche; Hiroko Bretz; Andrew Vold; Frank Schilder (JSAI-isAI Workshops, 2020)

Quick Check: A Legal Research Recommendation System. - Merine Thomas; Thomas Vacek; Xin Shuai; Wenhui Liao; George Sanchez; Paras Sethia; Don Teo; Kanika Madan; Tonya Custis (NLLP@KDD, 2020)

Fast And Slow Learning Of Recurrent Independent Mechanisms. - Kanika Madan; Nan Rosemary Ke; Anirudh Goyal; Bernhard Schölkopf; Yoshua Bengio (ICLR, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Nazanin Mohammadi Sepahvand; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (MLSys, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Naz Sepah; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (CoRR, 2021)

Multi-label legal document classification: A deep learning-based approach with label-attention and domain-specific pre-training. - Dezhao Song; Andrew Vold; Kanika Madan; Frank Schilder (Inf. Syst., 2022)

Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. - Kanika Madan; Jarrid Rector-Brooks; Maksym Korablyov; Emmanuel Bengio; Moksh Jain; Andrei Cristian Nica; Tom Bosc; Yoshua Bengio; Nikolay Malkin (ICML, 2023)

Reusable Slotwise Mechanisms. - Bailey Trang Nguyen; Amin Mansouri; Kanika Madan; Khuong Nguyen; Kartik Ahuja; Dianbo Liu; Yoshua Bengio (NeurIPS, 2023)

Thompson sampling for improved exploration in GFlowNets. - Jarrid Rector-Brooks; Kanika Madan; Moksh Jain; Maksym Korablyov; Cheng-Hao Liu; Sarath Chandar; Nikolay Malkin; Yoshua Bengio (CoRR, 2023)

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems. - Bailey Trang Nguyen; Alexander Tong 001; Kanika Madan; Yoshua Bengio; Dianbo Liu (CoRR, 2023)

Pre-Training and Fine-Tuning Generative Flow Networks. - Ling Pan; Moksh Jain; Kanika Madan; Yoshua Bengio (ICLR, 2024)

Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings. - Aditya Sanghi; Aliasghar Khani; Pradyumna Reddy; Arianna Rampini; Derek Cheung; Kamal Rahimi Malekshan; Kanika Madan; Hooman Shayani (CoRR, 2024)

Towards Improving Exploration through Sibling Augmented GFlowNets. - Kanika Madan; Alex Lamb; Emmanuel Bengio; Glen Berseth; Yoshua Bengio (ICLR, 2025)