R. Acharyya, A. Chattoraj*, B. Zhang*, S. Das, D. Stefankovic. Statistical Mechanical Analysis of Neural Network Pruning - UAI 2021 [pdf]
A. Chattoraj*, S. Shivkumar*, Y S. Ra, R M. Haefner. A confirmation bias due to approximate active inference - COGSCI 2021 (Selected for talk), VSS 2020, Neuromatch 2020 [VSS 2020 Link][pdf]
A. Chattoraj, M. Snarskis, R M. Haefner. Relating confidence judgements to temporal biases in perceptual decision-making - COGSCI 2021 (Selected for talk) [pdf]
A. Chattoraj*, R Acharyya*, S. Das, I. Tanveer, E. Hoque. Removing racial bias in TED talk ratings by awareness of verbal and gesture quality - Responsible AI ICLR 2021 Workshop [Link] [pdf]
R. Acharyya, A. Chattoraj*, B. Zhang*, S. Das, D. Stefankovic. Understanding diversity based neural networks pruning in teacher-student setup - Neural Compression ICLR 2021 Workshop [Link] [pdf]
R. Acharyya, B. Zhang, A. Chattoraj, S. Das, D. Stefankovic. Diversity based edge pruning of neural networks using determinantal point process - Neural Compression ICLR 2021 Workshop [Link][pdf]
R. Acharyya, S. Das, A. Chattoraj, I. Tanveer. FairyTED: A fair rating predictor for TED talk data - AAAI 2020 (Selected for oral presentation in AI for Social Impact) [Link][pdf]
A. Chattoraj*, S. Shivkumar*, R D. Lange*, R M., Haefner. A probabilistic population code based on neural samples - NeurIPS 2018 (Selected for oral presentation, 1% acceptance rate) [Link][pdf]
A. Chattoraj*, R. Acharyya*, S. Shivakumar*, R. Ali*, I. Tanveer*. To be or not to be? A spatial predictive crime model for Rochester - UP-STAT 2018 (Won 3rd position in the data competition) [Link][pdf]
R D. Lange, A. Chattoraj, Ralf M. Haefner. On the computational basis of the confirmation bias - Bounded Optimality and Rational Metareasoning NIPS 2015 Workshop [pdf]
FD Johansson, A Chattoraj, C Bhattacharyya, D Dubhashi. Weighted theta functions and embeddings with applications to max-cut, clustering and summarization - NIPS 2015 [Link][pdf]
R D. Lange, A. Chattoraj, J M. Beck, J L. Yates, R M. Haefner. A confirmation bias in perceptual decision-making due to hierarchical approximate inference - COSYNE 2017, CCN 2018, Journal paper under review [COSYNE 2017, p.g 144][CCN 2018][pdf]
R D. Lange, A. Chattoraj*, S. Shivkumar*, R M. Haefner. Bayesian encoding and decoding as distinct perspectives on neural coding - Journal paper under review [pdf]
A. Chattoraj*, R Acharyya*, S. Das, I. Tanveer, E. Hoque. Fairness in rating prediction by awareness of verbal and gesture quality of public speeches - Conference paper under review [pdf]
R Acharyya*, S. Das*, A. Chattoraj, O. Sengupta, I. Tanveer. Detection and mitigation of bias in TED talk rating - Preprint [pdf]
A. Chattoraj, R D. Lange, R M. Haefner. Using the perceptual confirmation-bias to study learning and feedback in fovea and periphery - VSS 2020, CCN 2019, Journal version in prep. [VSS 2020] [CCN 2019]
A. Chattoraj, R D. Lange, S. Wu, R M. Haefner. A neural sampling based model of early visual processing based on leaky integrate-and-fire neurons - COSYNE 2018, BERNSTEIN 2019, Journal version in prep. [BERNSTEIN 2019][COSYNE 2018, p.g 242]